CN105534480A - Snore detecting method and device - Google Patents
Snore detecting method and device Download PDFInfo
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Abstract
The invention discloses a snore detecting method. The snore detecting method includes the following steps of obtaining low-frequency-band signals and high-frequency-band signals of obtained audio signals; calculating the energy value of the low-frequency-band signals and the energy value of the high-frequency-band signals; judging whether the ratio of the energy value of the low-frequency-band signals to the energy value of the high-frequency-band signals is within a first present range or not; if the ratio is within the first preset range, determining that the audio signals are snore audio signals. The invention further discloses a snore detecting device. By means of the snore detecting method, snore detecting accuracy is improved.
Description
Technical field
The present invention relates to technical field of medical equipment, particularly relate to a kind of sound of snoring detection method and device.
Background technology
In recent years, snoring is taken seriously gradually to the harm of human body, snores for a long time, can cause insomnia, fatigue, the symptom such as depressed, affect the orthobiosis of people.Therefore, realizing the detection quantitative to the sound of snoring, analyze, and then propose the method for the treatment of improvement, is a significantly thing.
The sound of snoring detection method that current personal consumption electron-like is commonly used is that the periodicity by detecting sound judges whether it is the sound of snoring, and this method cost is low, but poor anti jamming capability.Under quiet environment, can the sound of snoring be detected, but when having voice or other sound interference close with sound of snoring frequency, can voice or other sound close with sound of snoring frequency, error detection is the sound of snoring, and therefore, the Detection accuracy of existing sound of snoring detection method is lower.
Summary of the invention
Main purpose of the present invention is to provide a kind of sound of snoring detection method and device, is intended to solve the problem that the Detection accuracy of existing sound of snoring detection method is lower.
For achieving the above object, described in a kind of sound of snoring detection method provided by the invention, sound of snoring detection method comprises the following steps:
Obtain the low-band signal in the audio signal collected and high frequency band signal;
Calculate the energy value of described low-band signal and described high frequency band signal;
Judge that the ratio of the energy value of described low-band signal and the energy value of corresponding described high frequency band signal is whether in the first preset range;
If so, then determine that described audio signal is sound of snoring audio signal.
Alternatively, the low-band signal in the audio signal that collects of described acquisition and the step of high frequency band signal comprise:
The audio signal collected is sampled and quantification treatment, obtains the digital signal continued, and windowing process is carried out to described digital signal;
Carry out bandpass filtering to the digital signal in window, obtain low-band signal and the high frequency band signal of described audio signal, wherein, described low-band signal and high frequency band signal comprise multiple frame signal.
Alternatively, the step of the energy value of the described low-band signal of described calculating and described high frequency band signal comprises:
Calculate described low-band signal and described high frequency band signal the energy value of each frame signal, and using the energy value of the energy value of each frame signal of described low-band signal as described low-band signal, the energy value of each frame signal of described high frequency band signal is as the energy value of described high frequency band signal.
Alternatively, the step of the described ratio judging the energy value of described low-band signal and the energy value of corresponding described high frequency band signal whether in the first preset range comprises:
According to the energy wave of the energy value composition low-band signal of each frame signal of described low-band signal;
Choose from the energy wave of described low-band signal and preset an energy value meeting the frame signal corresponding to pre-conditioned adjacent peak, and obtain the energy value with the frame signal of the high frequency band signal corresponding to energy value of frame signal chosen, described pre-conditioned be that the time difference of adjacent peak is in the second preset range;
Calculate the ratio of the energy value of the frame signal of the energy value of the frame signal of the low-band signal that each the is chosen high frequency band signal corresponding with it;
Judge each ratio of calculating whether in described first preset range.
Alternatively, the step of the described ratio judging the energy value of described low-band signal and the energy value of corresponding described high frequency band signal whether in the first preset range comprises:
According to the energy wave of the energy value composition high frequency band signal of each frame signal of described high frequency band signal;
Choose from the energy wave of described high frequency band signal and preset an energy value meeting the frame signal corresponding to pre-conditioned adjacent peak, and obtain the energy value with the frame signal of the low-band signal corresponding to energy value of frame signal chosen, described pre-conditioned be that the time difference of adjacent peak is in the second preset range;
The ratio of the energy value calculating the frame signal of the described low-band signal that each obtains and the energy value of the frame signal of high frequency band signal chosen;
Judge each ratio of calculating whether in described first preset range.
In addition, for achieving the above object, the present invention also provides a kind of sound of snoring checkout gear, and described sound of snoring checkout gear comprises:
Acquisition module, for obtaining low-band signal in the audio signal that collects and high frequency band signal;
Computing module, for calculating the energy value of described low-band signal and described high frequency band signal;
Judge module, for judging that the ratio of the energy value of described low-band signal and the energy value of corresponding described high frequency band signal is whether in the first preset range;
Determination module, if for described ratio in the first preset range, then determines that described audio signal is sound of snoring audio signal.
Alternatively, described acquisition module comprises:
Processing unit, for sampling to the audio signal collected and quantification treatment, obtains the digital signal continued, and carries out windowing process to described digital signal;
Acquiring unit, for carrying out bandpass filtering to the digital signal in window, obtain low-band signal and the high frequency band signal of described audio signal, wherein, described low-band signal and high frequency band signal comprise multiple frame signal.
Alternatively, described computing module, also for calculate described low-band signal and described high frequency band signal the energy value of each frame signal, and using the energy value of the energy value of each frame signal of described low-band signal as described low-band signal, the energy value of each frame signal of described high frequency band signal is as the energy value of described high frequency band signal.
Alternatively, described judge module comprises:
Component units, for the energy wave of the energy value composition low-band signal of each frame signal according to described low-band signal;
Choose unit, an energy value meeting the frame signal corresponding to pre-conditioned adjacent peak is preset for choosing in the energy wave from described low-band signal, and obtain the energy value with the frame signal of the high frequency band signal corresponding to energy value of frame signal chosen, described pre-conditioned be that the time difference of adjacent peak is in the second preset range;
Computing unit, the ratio of the energy value of the frame signal of the high frequency band signal that the energy value for the frame signal calculating the low-band signal that each is chosen is corresponding with it;
Judging unit, for judging each ratio of calculating whether in described first preset range.
Alternatively, described component units, also for the energy wave of the energy value composition high frequency band signal of each frame signal according to described high frequency band signal;
Describedly choose unit, also preset an energy value meeting the frame signal corresponding to pre-conditioned adjacent peak for choosing in the energy wave from described high frequency band signal, and obtain the energy value with the frame signal of the low-band signal corresponding to energy value of frame signal chosen, described pre-conditioned be that the time difference of adjacent peak is in the second preset range;
Described computing unit, also for the energy value that calculates the frame signal of the described low-band signal that each the obtains ratio with the energy value of the frame signal of high frequency band signal chosen;
Described judging unit, also for judging each ratio of calculating whether in described first preset range.
The present invention is by obtaining low-band signal and the high frequency band signal of the audio signal collected, and calculate the ratio of the energy value of described low-band signal and the energy value of described high frequency band signal, because the ratio range of the energy value of the energy value of the low-band signal of sound of snoring signal and the ratio range of the energy value of described high frequency band signal and the energy value of the low-band signal of normal speech signal and described high frequency band signal is obviously different, by judging described ratio whether in the first preset range, thus whether the audio signal collected described in can determining is sound of snoring audio signal, improve the accuracy rate that the sound of snoring detects.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of the first embodiment of sound of snoring detection method of the present invention;
Fig. 2 is the step refinement schematic flow sheet obtaining low-band signal in the audio signal that collects and high frequency band signal in Fig. 1;
Fig. 3 is the schematic flow sheet of the second embodiment of sound of snoring detection method of the present invention;
Fig. 4 is the step refinement schematic flow sheet of ratio whether in the first preset range judging the energy value of low-band signal and the energy value of corresponding high frequency band signal in Fig. 2;
Fig. 5 is the energy waveform schematic diagram of low-band signal of the present invention;
Fig. 6 is the high-level schematic functional block diagram of the first embodiment of sound of snoring checkout gear of the present invention;
Fig. 7 is the refinement high-level schematic functional block diagram of acquisition module in Fig. 6;
Fig. 8 is the refinement high-level schematic functional block diagram of judge module in Fig. 6;
The realization of the object of the invention, functional characteristics and advantage will in conjunction with the embodiments, are described further with reference to accompanying drawing.
Detailed description of the invention
Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
Based on the problems referred to above, the invention provides a kind of sound of snoring detection method.
With reference to the schematic flow sheet that Fig. 1, Fig. 1 are the first embodiment of sound of snoring detection method of the present invention.
In the present embodiment, described sound of snoring detection method comprises:
Step S10, obtains the low-band signal in the audio signal collected and high frequency band signal;
The present inventor studies discovery, and the attenuation ratio of the high band (600HZ ~ 950HZ) of the sound of snoring and the energy distributions of low-frequency range (50HZ ~ 300HZ) has obvious feature, and elemental range is between 50 ~ 100.And the attenuation ratio of the energy distributions of the high band of normal speech (600HZ ~ 950HZ) and low-frequency range (50HZ ~ 300HZ) is between 1 ~ 10, so the attenuation ratio of the energy distributions of the sound of snoring and normal speech makes a big difference.In the present embodiment, described low-band signal is the component of signal of audio signal medium frequency within the scope of 50HZ ~ 300HZ collected, described high frequency band signal is the component of signal of audio signal medium frequency within the scope of 600HZ ~ 950HZ collected, when low-frequency range and the high frequency band signal of the audio signal collected described in obtaining, described audio signal is needed to carry out filtering by two-way band filter, described two-way band filter is respectively the band filter of 50HZ ~ 300HZ and the band filter of 600HZ ~ 950HZ, after the filtering by above-mentioned band filter, just can obtain low-band signal and the high frequency band signal of described audio signal.
Step S20, calculates the energy value of described low-band signal and described high frequency band signal;
After the low-band signal getting described audio signal and high frequency band signal, calculate the energy value of described low-band signal and the energy value of described high frequency band signal, described energy value represents the amplitude of described low-band signal or high frequency band signal.Concrete, described low-band signal and high frequency band signal can be carried out windowing process, thus obtain the frame signal of described low-band signal and high frequency band signal, then the energy value of every frame signal is calculated respectively, when calculating the energy value of each frame signal of signal of described low-frequency range, can using the energy value of the meansigma methods of the energy value of each frame signal of described low-band signal as described low-band signal, simultaneously using the energy value of the meansigma methods of the energy value of each frame signal of described high frequency band signal as described high frequency band signal, or choose the adjacent energy value of energy value as described low-band signal presetting a peak value the time domain waveform that also can form from the energy value of each frame signal of described low-band signal, simultaneously using the energy value of the energy value of each frame signal of the high frequency band signal corresponding with the peak value of the described low-band signal chosen as described high frequency band signal, wherein, described default is preferably 5.
Step S30, judges that the ratio of the energy value of described low-band signal and the energy value of corresponding described high frequency band signal is whether in the first preset range;
In the present embodiment, described first preset range is 50 ~ 100.The energy value of described low-band signal can be the energy value of each frame signal of described low-band signal, or be the meansigma methods of the energy value of each frame signal of described low-band signal, or that chooses in the energy value for each frame signal of described low-band signal presets an energy value, or the meansigma methods presetting an energy value chosen in the energy value for each frame signal of described low-band signal, accordingly, the energy value of described high frequency band signal is the energy value of each frame signal of described high frequency band signal, or be the meansigma methods of the energy value of each frame signal of described high frequency band signal, or that chooses in the energy value for each frame signal of described high frequency band signal presets an energy value, or the meansigma methods presetting an energy value chosen in the energy value for each frame signal of described high frequency band signal.
Step S40, if so, then determines that described audio signal is sound of snoring audio signal.
If described ratio is in the first preset range, then determine that described audio signal is sound of snoring audio signal, described ratio not in the first preset range, then determines that described audio signal is not sound of snoring audio signal, such as normal speech signal or some noise signals etc.
The present embodiment is by obtaining low-band signal and the high frequency band signal of the audio signal collected, and calculate the ratio of the energy value of described low-band signal and the energy value of described high frequency band signal, because the ratio range of the energy value of the energy value of the low-band signal of sound of snoring signal and the ratio range of the energy value of described high frequency band signal and the energy value of the low-band signal of normal speech signal and described high frequency band signal is obviously different, by judging described ratio whether in the first preset range, thus whether the audio signal collected described in can determining is sound of snoring audio signal, improve the accuracy rate that the sound of snoring detects.
Further, propose the second embodiment of sound of snoring detection method of the present invention based on the first embodiment, with reference to Fig. 2, in the present embodiment, described step S10 comprises:
Step S11, samples and quantification treatment to the audio signal collected, and obtains the digital signal continued, and carries out windowing process to described digital signal;
Step S12, carries out bandpass filtering to the digital signal in window, obtains low-band signal and the high frequency band signal of described audio signal, and wherein, described low-band signal and high frequency band signal comprise multiple frame signal.
After mike collects original audio signal, need the audio signal audio signal of the simulation collected being converted to numeral, such as, adopt 12bit bit AD sample, sample rate is that 2Kbit/s samples, and by sampling, the signal obtained carries out quantification treatment, obtains the digital signal continued.After obtaining the digital signal continued, windowing process is carried out to the digital signal continued.In the present embodiment, in the process of windowing process, being preferably length of window is 1000 milliseconds, it is 200 milliseconds that frame moves, also need the filtering of the signal in window through two-way band filter after windowing process, obtain the frame signal x (1) of described low-band signal, x (2), x (n), the frame signal y (1) of described high frequency band signal, y (2), y (n), described two-way band filter is preferably Butterworth IIR (InfiniteImpulseResponse, infinite impulse response) band filter of quadravalence 50HZ ~ 300HZ and the band filter of Butterworth IIR quadravalence 600HZ ~ 950HZ.
The present embodiment is by sampling and quantification treatment to the signal adopted, then windowing and Filtering Processing are carried out to the digital signal obtained, thus finally obtain the frame signal of low-band signal and high frequency band signal, thus conveniently the energy value of described audio signal is calculated.
Further, propose the 3rd embodiment of sound of snoring detection method of the present invention based on the second embodiment, with reference to Fig. 3, in the present embodiment, described step S20 comprises:
Step S21, calculate described low-band signal and described high frequency band signal the energy value of each frame signal, and using the energy value of the energy value of each frame signal of described low-band signal as described low-band signal, the energy value of each frame signal of described high frequency band signal is as the energy value of described high frequency band signal.
After the acquisition frame signal of described low-band signal and the signal of described high band, calculated the energy value of each frame signal by the energy arithmetic preset, the frame signal energy arithmetic of described low-band signal is specially:
Wherein, the time domain waveform of each frame signal that x (n) is low-band signal, N is frame length, the number of the sampled data namely contained in a frame signal, the energy value of each frame signal that E (low) is low-band signal.
In like manner, the frame signal energy arithmetic of described high frequency band signal is specially:
Wherein, the time domain waveform of each frame signal that y (n) is high frequency band signal, N is frame length, the number of the sampled data namely contained in a frame signal, the energy value of each frame signal that E (high) is altofrequency segment signal.
The present embodiment calculates the energy value of each frame signal by energy arithmetic, thus makes the analysis of described low-band signal and described high frequency band signal convenient, intuitively.
Further, propose the 4th embodiment of sound of snoring detection method of the present invention based on above-mentioned 3rd embodiment, with reference to Fig. 4, in the present embodiment, described step S30 comprises:
Step S31, according to the energy wave of the energy value composition low-band signal of each frame signal of described low-band signal;
Step S32, choose from the energy wave of described low-band signal and preset an energy value meeting the frame signal corresponding to pre-conditioned adjacent peak, and obtain the energy value with the frame signal of the high frequency band signal corresponding to energy value of frame signal chosen, described pre-conditioned be that the time difference of adjacent peak is in the second preset range;
Step S33, calculates the ratio of the energy value of the frame signal of the energy value of the frame signal of the low-band signal that each the is chosen high frequency band signal corresponding with it;
Step S34, judges each ratio of calculating whether in described first preset range.
When judging that the ratio of the energy value of described low-band signal and the energy value of corresponding high frequency band signal is whether within the first preset range, concrete, the energy value of each frame signal of the low-band signal calculated can be formed the energy wave of low-band signal, such as, with reference to the energy waveform figure that Fig. 5, Fig. 5 are the low-band signal of the present embodiment.After the energy value composition energy wave of each frame signal by described low-band signal, choose from described energy wave and preset an energy value meeting the frame signal corresponding to pre-conditioned adjacent peak, from the energy value of each frame signal of described high frequency band signal, obtain a default individual energy value corresponding with the frame signal of the low-band signal chosen simultaneously, described pre-conditioned be that the time difference of adjacent peak in the energy waveform of described low-band signal is in the second preset range; In another embodiment of the invention, can by the energy wave of the energy value of each frame signal of described high frequency band signal composition high frequency band signal, choose from the energy wave of described high frequency band signal again and preset an energy value meeting the frame signal corresponding to pre-conditioned adjacent peak, from each frame signal of described low-band signal, obtain a default individual energy value corresponding with the frame signal of the high frequency band signal chosen simultaneously, described pre-conditioned be that the time difference of adjacent peak in the energy waveform of described high frequency band signal is in the second preset range.Concrete, the energy waveform being low-band signal for described energy waveform, by analyzing continuing adjacent individual peak value of presetting in energy waveform, can obtain periodic quantity and the energy value of presetting a peak value.Such as, 5 adjacent peak values in energy waveform are analyzed, obtain 5 energy peak E1 (low), E2 (low) ... E5 (low), 5 periodic quantity Tp1, Tp2 ... Tp5, wherein, described periodic quantity is the time difference of two peak values adjacent in energy waveform.After acquisition periodic quantity, judge whether above-mentioned 5 periodic quantities meet following rule: (1), (Tp1, Tp2 ... Tp5) >3 second, namely above-mentioned five periodic quantities are all greater than 3 seconds; (2), (Tp1, Tp2 ... Tp5) <8 second, namely above-mentioned five periodic quantities are all less than 8 seconds; (3), adjacent periods difference t1=Tp2-Tp1 ..., t5=Tp5-Tp4, (t1...t5) <1 second, namely adjacent cycle difference is all less than 1 second, is understandable that, each threshold value that the above-mentioned cycle meets also can be other value.If the energy value presetting individual frame signal chosen meets above-mentioned rule, then obtain the energy value with the frame signal of the high frequency band signal corresponding to frame signal of the described low-band signal chosen, such as E1 (high), E2 (high) ... E5 (high).In the present embodiment, the energy value of described low-band signal and the frame signal corresponding to high frequency band signal, refers to the energy value of described low-band signal and described high frequency band signal frame signal at one time.Corresponding, the ratio calculating the energy value of described low-band signal and the energy value of described high frequency band signal can be used as under type: P1=E1 (low)/E1 (high), P2=E2 (low)/E2 (high) ... P5=E5 (low)/E5 (high).After each ratio of acquisition, judge each ratio whether all in the first preset range, namely whether P1, P2, P3, P4, P5 be all in the first preset range, and described first preset range is preferably 50 ~ 100, when above-mentioned condition meets, determine that described audio signal is sound of snoring audio signal.In like manner, when described energy waveform is the energy waveform of high frequency band signal, analyzes continuing adjacent individual peak value of presetting in described energy waveform, obtaining periodic quantity and the energy value of presetting a peak value.Such as, 5 adjacent peak values in energy waveform are analyzed, obtain 5 energy peak E1 (high1), E2 (high1) ... E5 (high1), 5 periodic quantity Tp1, Tp2 ... Tp5, accordingly, when the energy value presetting individual frame signal chosen meets above-described rule, obtain the energy value with the frame signal of the low-band signal corresponding to frame signal of the described high frequency band signal chosen, such as E1 (low1), E2 (low1) ... E5 (low1), the computing formula of the ratio of the energy value of described low-band signal signal and the energy value of described high frequency band signal is as described below: P1=E1 (low1)/E1 (high1), P2=E2 (low1)/E2 (high1 ... P5=E5 (low1)/E5 (high1), after each ratio of acquisition, judge each ratio whether all in the first preset range, i.e. P1, P2, P3, P4, whether P5 is all in the first preset range, described first preset range is preferably 50 ~ 100, when above-mentioned condition meets, determine that described audio signal is sound of snoring audio signal.In another embodiment of the invention, also can by above-mentioned 5 ratios be averaged, then judge described meansigma methods whether in the first preset range, this first preset range is preferably 60 ~ 100.
The present embodiment is by obtaining the energy value of multiple frame signals of low-band signal and the ratio of the energy value of multiple frame signals of corresponding high frequency band signal, and by multiple ratios of judging acquisition whether in the first preset range, thus determine whether the audio signal collected is audio signal, further increase the accuracy that the sound of snoring detects.
The present invention further provides a kind of sound of snoring checkout gear.
With reference to the high-level schematic functional block diagram that Fig. 6, Fig. 6 are first embodiment of apparatus of the present invention.
In the present embodiment, described sound of snoring checkout gear comprises: acquisition module 10, computing module 20, judge module 30 and determination module 40.
Described acquisition module 10, for obtaining low-band signal in the audio signal that collects and high frequency band signal;
The present inventor studies discovery, and the attenuation ratio of the high band (600HZ ~ 950HZ) of the sound of snoring and the energy distributions of low-frequency range (50HZ ~ 300HZ) has obvious feature, and elemental range is between (50 ~ 100).And the attenuation ratio of the energy distributions of the high band of normal speech (600HZ ~ 950HZ) and low-frequency range (50HZ ~ 300HZ) is between (1 ~ 10), so the attenuation ratio of the energy distributions of the sound of snoring and normal speech makes a big difference.In the present embodiment, described low-band signal is the component of signal of audio signal medium frequency within the scope of 50HZ ~ 300HZ collected, described high frequency band signal is the component of signal of audio signal medium frequency within the scope of 600HZ ~ 950HZ collected, when low-frequency range and the high frequency band signal of the audio signal collected described in obtaining, described audio signal is needed to carry out filtering by two-way band filter, described two-way band filter is respectively the band filter of 50HZ ~ 300HZ and the band filter of 600HZ ~ 950HZ, after the filtering by above-mentioned band filter, just can obtain low-band signal and the high frequency band signal of described audio signal.
Described computing module 20, for calculating the energy value of described low-band signal and described high frequency band signal;
After the low-band signal getting described audio signal and high frequency band signal, calculate the energy value of described low-band signal and the energy value of described high frequency band signal, described energy value represents the amplitude of described low-band signal or high frequency band signal.Concrete, described low-band signal and high frequency band signal can be carried out windowing process, thus obtain the frame signal of described low-band signal and high frequency band signal, then the energy value of every frame signal is calculated respectively, when calculating the energy value of each frame signal of signal of described low-frequency range, can using the energy value of the meansigma methods of the energy value of each frame signal of described low-band signal as described low-band signal, simultaneously using the energy value of the meansigma methods of the energy value of each frame signal of described high frequency band signal as described high frequency band signal, or choose the adjacent energy value of energy value as described low-band signal presetting a peak value the time domain waveform that also can form from the energy value of each frame signal of described low-band signal, simultaneously using the energy value of the energy value of each frame signal of the high frequency band signal corresponding with the peak value of the described low-band signal chosen as described high frequency band signal, wherein, described default is preferably 5.
Described computing module 20, also for calculate described low-band signal and described high frequency band signal the energy value of each frame signal, and using the energy value of the energy value of each frame signal of described low-band signal as described low-band signal, the energy value of each frame signal of described high frequency band signal is as the energy value of described high frequency band signal.
After the acquisition frame signal of described low-band signal and the signal of described high band, calculated the energy value of each frame signal by the energy arithmetic preset, the frame signal energy arithmetic of described low-band signal is specially:
Wherein, the time domain waveform of each frame signal that x (n) is low-band signal, N is frame length, the number of the sampled data namely contained in a frame signal, the energy value of each frame signal that E (low) is low-band signal.
In like manner, the frame signal energy arithmetic of described high frequency band signal is specially:
Wherein, the time domain waveform of each frame signal that y (n) is high frequency band signal, N is frame length, the number of the sampled data namely contained in a frame signal, the energy value of each frame signal that E (high) is altofrequency segment signal.
Described judge module 30, for judging that the ratio of the energy value of described low-band signal and the energy value of corresponding described high frequency band signal is whether in the first preset range;
In the present embodiment, described first preset range is 50 ~ 100.The energy value of described low-band signal can be the energy value of each frame signal of described low-band signal, or be the meansigma methods of the energy value of each frame signal of described low-band signal, or that chooses in the energy value for each frame signal of described low-band signal presets an energy value, or the meansigma methods presetting an energy value chosen in the energy value for each frame signal of described low-band signal, accordingly, the energy value of described high frequency band signal is the energy value of each frame signal of described high frequency band signal, or be the meansigma methods of the energy value of each frame signal of described high frequency band signal, or that chooses in the energy value for each frame signal of described high frequency band signal presets an energy value, or the meansigma methods presetting an energy value chosen in the energy value for each frame signal of described high frequency band signal.
Described determination module 40, if for described ratio in the first preset range, then determines that described audio signal is sound of snoring audio signal.
If described ratio is in the first preset range, then determine that described audio signal is sound of snoring audio signal, described ratio not in the first preset range, then determines that described audio signal is not sound of snoring audio signal, such as normal speech signal or some noise signals etc.
The present embodiment is by obtaining low-band signal and the high frequency band signal of the audio signal collected, and calculate the ratio of the energy value of described low-band signal and the energy value of described high frequency band signal, because the ratio range of the energy value of the energy value of the low-band signal of sound of snoring signal and the ratio range of the energy value of described high frequency band signal and the energy value of the low-band signal of normal speech signal and described high frequency band signal is obviously different, by judging described ratio whether in the first preset range, thus whether the audio signal collected described in can determining is sound of snoring audio signal, improve the accuracy rate that the sound of snoring detects.
Further, propose the second embodiment of sound of snoring checkout gear of the present invention based on the first embodiment, with reference to Fig. 7, in the present embodiment, described acquisition module 10 comprises: processing unit 11 and acquiring unit 12.
Described processing unit 11, for sampling to the audio signal collected and quantification treatment, obtains the digital signal continued, and carries out windowing process to described digital signal;
Described acquiring unit 12, for carrying out bandpass filtering to the digital signal in window, obtain low-band signal and the high frequency band signal of described audio signal, wherein, described low-band signal and high frequency band signal comprise multiple frame signal;
After mike collects original audio signal, need the audio signal audio signal of the simulation collected being converted to numeral, such as, adopt 12bit bit AD sample, sample rate is that 2Kbit/s samples, and by sampling, the signal obtained carries out quantification treatment, obtains the digital signal continued.After obtaining the digital signal continued, windowing process is carried out to the digital signal continued.In the present embodiment, in the process of windowing process, being preferably length of window is 1000 milliseconds, it is 200 milliseconds that frame moves, also need the filtering of the signal in window through two-way band filter after windowing process, obtain the frame signal x (1) of described low-band signal, x (2), x (n), the frame signal y (1) of described high frequency band signal, y (2), y (n), described two-way band filter is preferably Butterworth IIR (InfiniteImpulseResponse, infinite impulse response) band filter of quadravalence 50HZ ~ 300HZ and the band filter of Butterworth IIR quadravalence 600HZ ~ 950HZ.
The present embodiment is by sampling and quantification treatment to the signal adopted, then windowing and Filtering Processing are carried out to the digital signal obtained, thus finally obtain the frame signal of low-band signal and high frequency band signal, thus conveniently the energy value of described audio signal is calculated.
Further, propose the 3rd embodiment of sound of snoring checkout gear of the present invention based on above-mentioned any embodiment, with reference to Fig. 8, in the present embodiment, described judge module 30 comprises: component units 31, choose unit 32, computing unit 33 and judging unit 34.
Described component units 31, for the energy wave of the energy value composition low-band signal of each frame signal according to described low-band signal;
Describedly choose unit 32, an energy value meeting the frame signal corresponding to pre-conditioned adjacent peak is preset for choosing in the energy wave from described low-band signal, and obtain the energy value with the frame signal of the high frequency band signal corresponding to energy value of frame signal chosen, described pre-conditioned be that the time difference of adjacent peak is in the second preset range;
Described computing unit 33, the ratio of the energy value of the frame signal of the high frequency band signal that the energy value for the frame signal calculating the low-band signal that each is chosen is corresponding with it;
Described judging unit 34, for judging each ratio of calculating whether in described first preset range.
When judging that the ratio of the energy value of described low-band signal and the energy value of corresponding high frequency band signal is whether within the first preset range, concrete, the energy value of each frame signal of the low-band signal calculated can be formed the energy wave of low-band signal, such as, with reference to the energy waveform figure that Fig. 5, Fig. 5 are the low-band signal of the present embodiment.After the energy value composition energy wave of each frame signal by described low-band signal, choose from described energy wave and preset an energy value meeting the frame signal corresponding to pre-conditioned adjacent peak, from the energy value of each frame signal of described high frequency band signal, obtain a default individual energy value corresponding with the frame signal of the low-band signal chosen simultaneously, described pre-conditioned be that the time difference of adjacent peak in the energy waveform of described low-band signal is in the second preset range; In another embodiment of the invention, can by the energy wave of the energy value of each frame signal of described high frequency band signal composition high frequency band signal, choose from the energy wave of described high frequency band signal again and preset an energy value meeting the frame signal corresponding to pre-conditioned adjacent peak, from each frame signal of described low-band signal, obtain a default individual energy value corresponding with the frame signal of the high frequency band signal chosen simultaneously, described pre-conditioned be that the time difference of adjacent peak in the energy waveform of described high frequency band signal is in the second preset range.Concrete, the energy waveform being low-band signal for described energy waveform, by analyzing continuing adjacent individual peak value of presetting in energy waveform, can obtain periodic quantity and the energy value of presetting a peak value.Such as, 5 adjacent peak values in energy waveform are analyzed, obtain 5 energy peak E1 (low), E2 (low) ... E5 (low), 5 periodic quantity Tp1, Tp2 ... Tp5, wherein, described periodic quantity is the time difference of two peak values adjacent in energy waveform.After acquisition periodic quantity, judge whether above-mentioned 5 periodic quantities meet following rule: (1), (Tp1, Tp2 ... Tp5) >3 second, namely above-mentioned five periodic quantities are all greater than 3 seconds; (2), (Tp1, Tp2 ... Tp5) <8 second, namely above-mentioned five periodic quantities are all less than 8 seconds; (3), adjacent periods difference t1=Tp2-Tp1 ..., t5=Tp5-Tp4, (t1...t5) <1 second, namely adjacent cycle difference is all less than 1 second, is understandable that, each threshold value that the above-mentioned cycle meets also can be other value.If the energy value presetting individual frame signal chosen meets above-mentioned rule, then obtain the energy value with the frame signal of the high frequency band signal corresponding to frame signal of the described low-band signal chosen, such as E1 (high), E2 (high) ... E5 (high).In the present embodiment, the energy value of described low-band signal and the frame signal corresponding to high frequency band signal, refers to the energy value of described low-band signal and described high frequency band signal frame signal at one time.Corresponding, the ratio calculating the energy value of described low-band signal and the energy value of described high frequency band signal can be used as under type: P1=E1 (low)/E1 (high), P2=E2 (low)/E2 (high) ... P5=E5 (low)/E5 (high).After each ratio of acquisition, judge each ratio whether all in the first preset range, namely whether P1, P2, P3, P4, P5 be all in the first preset range, and described first preset range is preferably 50 ~ 100, when above-mentioned condition meets, determine that described audio signal is sound of snoring audio signal.In like manner, when described energy waveform is the energy waveform of high frequency band signal, analyzes continuing adjacent individual peak value of presetting in described energy waveform, obtaining periodic quantity and the energy value of presetting a peak value.Such as, 5 adjacent peak values in energy waveform are analyzed, obtain 5 energy peak E1 (high1), E2 (high1) ... E5 (high1), 5 periodic quantity Tp1, Tp2 ... Tp5, accordingly, when the energy value presetting individual frame signal chosen meets above-described rule, obtain the energy value with the frame signal of the low-band signal corresponding to frame signal of the described high frequency band signal chosen, such as E1 (low1), E2 (low1) ... E5 (low1), the computing formula of the ratio of the energy value of described low-band signal signal and the energy value of described high frequency band signal is as described below: P1=E1 (low1)/E1 (high1), P2=E2 (low1)/E2 (high1 ... P5=E5 (low1)/E5 (high1), after each ratio of acquisition, judge each ratio whether all in the first preset range, i.e. P1, P2, P3, P4, whether P5 is all in the first preset range, described first preset range is preferably 50 ~ 100, when above-mentioned condition meets, determine that described audio signal is sound of snoring audio signal.In another embodiment of the invention, also can by above-mentioned 5 ratios be averaged, then judge described meansigma methods whether in the first preset range, this first preset range is preferably 60 ~ 100.
The present embodiment is by obtaining the energy value of multiple frame signals of low-band signal and the ratio of the energy value of multiple frame signals of corresponding high frequency band signal, and by multiple ratios of judging acquisition whether in the first preset range, thus determine whether the audio signal collected is audio signal, further increase the accuracy that the sound of snoring detects.
The invention described above embodiment sequence number, just to describing, does not represent the quality of embodiment.Through the above description of the embodiments, those skilled in the art can be well understood to the mode that above-described embodiment method can add required general hardware platform by software and realize, hardware can certainly be passed through, but in a lot of situation, the former is better embodiment.Based on such understanding, technical scheme of the present invention can embody with the form of software product the part that prior art contributes in essence in other words, this computer software product is stored in a storage medium (as ROM/RAM, magnetic disc, CD), comprising some instructions in order to make a station terminal equipment (can be mobile phone, computer, server, air-conditioner, or the network equipment etc.) perform method described in each embodiment of the present invention.
These are only the preferred embodiments of the present invention; not thereby the scope of the claims of the present invention is limited; every utilize description of the present invention and accompanying drawing content to do equivalent structure or equivalent flow process conversion; or be directly or indirectly used in other relevant technical fields, be all in like manner included in scope of patent protection of the present invention.
Claims (10)
1. a sound of snoring detection method, is characterized in that, described sound of snoring detection method comprises the following steps:
Obtain the low-band signal in the audio signal collected and high frequency band signal;
Calculate the energy value of described low-band signal and described high frequency band signal;
Judge that the ratio of the energy value of described low-band signal and the energy value of corresponding described high frequency band signal is whether in the first preset range;
If so, then determine that described audio signal is sound of snoring audio signal.
2. sound of snoring detection method as claimed in claim 1, it is characterized in that, the low-band signal in the audio signal that described acquisition collects and the step of high frequency band signal comprise:
The audio signal collected is sampled and quantification treatment, obtains the digital signal continued, and windowing process is carried out to described digital signal;
Carry out bandpass filtering to the digital signal in window, obtain low-band signal and the high frequency band signal of described audio signal, wherein, described low-band signal and high frequency band signal comprise multiple frame signal.
3. sound of snoring detection method as claimed in claim 2, it is characterized in that, the step of the energy value of the described low-band signal of described calculating and described high frequency band signal comprises:
Calculate described low-band signal and described high frequency band signal the energy value of each frame signal, and using the energy value of the energy value of each frame signal of described low-band signal as described low-band signal, the energy value of each frame signal of described high frequency band signal is as the energy value of described high frequency band signal.
4. sound of snoring detection method as claimed in claim 3, is characterized in that, the step of the described ratio judging the energy value of described low-band signal and the energy value of corresponding described high frequency band signal whether in the first preset range comprises:
According to the energy wave of the energy value composition low-band signal of each frame signal of described low-band signal;
Choose from the energy wave of described low-band signal and preset an energy value meeting the frame signal corresponding to pre-conditioned adjacent peak, and obtain the energy value with the frame signal of the high frequency band signal corresponding to energy value of frame signal chosen, described pre-conditioned be that the time difference of adjacent peak is in the second preset range;
Calculate the ratio of the energy value of the frame signal of the energy value of the frame signal of the low-band signal that each the is chosen high frequency band signal corresponding with it;
Judge each ratio of calculating whether in described first preset range.
5. sound of snoring detection method as claimed in claim 3, is characterized in that, the step of the described ratio judging the energy value of described low-band signal and the energy value of corresponding described high frequency band signal whether in the first preset range comprises:
According to the energy wave of the energy value composition high frequency band signal of each frame signal of described high frequency band signal;
Choose from the energy wave of described high frequency band signal and preset an energy value meeting the frame signal corresponding to pre-conditioned adjacent peak, and obtain the energy value with the frame signal of the low-band signal corresponding to energy value of frame signal chosen, described pre-conditioned be that the time difference of adjacent peak is in the second preset range;
The ratio of the energy value calculating the frame signal of the described low-band signal that each obtains and the energy value of the frame signal of high frequency band signal chosen;
Judge each ratio of calculating whether in described first preset range.
6. a sound of snoring checkout gear, is characterized in that, described sound of snoring checkout gear comprises:
Acquisition module, for obtaining low-band signal in the audio signal that collects and high frequency band signal;
Computing module, for calculating the energy value of described low-band signal and described high frequency band signal;
Judge module, for judging that the ratio of the energy value of described low-band signal and the energy value of corresponding described high frequency band signal is whether in the first preset range;
Determination module, if for described ratio in the first preset range, then determines that described audio signal is sound of snoring audio signal.
7. sound of snoring checkout gear as claimed in claim 6, it is characterized in that, described acquisition module comprises:
Processing unit, for sampling to the audio signal collected and quantification treatment, obtains the digital signal continued, and carries out windowing process to described digital signal;
Acquiring unit, for carrying out bandpass filtering to the digital signal in window, obtain low-band signal and the high frequency band signal of described audio signal, wherein, described low-band signal and high frequency band signal comprise multiple frame signal.
8. sound of snoring checkout gear as claimed in claim 7, it is characterized in that, described computing module, also for calculate described low-band signal and described high frequency band signal the energy value of each frame signal, and using the energy value of the energy value of each frame signal of described low-band signal as described low-band signal, the energy value of each frame signal of described high frequency band signal is as the energy value of described high frequency band signal.
9. sound of snoring checkout gear as claimed in claim 8, it is characterized in that, described judge module comprises:
Component units, for the energy wave of the energy value composition low-band signal of each frame signal according to described low-band signal;
Choose unit, an energy value meeting the frame signal corresponding to pre-conditioned adjacent peak is preset for choosing in the energy wave from described low-band signal, and obtain the energy value with the frame signal of the high frequency band signal corresponding to energy value of frame signal chosen, described pre-conditioned be that the time difference of adjacent peak is in the second preset range;
Computing unit, the ratio of the energy value of the frame signal of the high frequency band signal that the energy value for the frame signal calculating the low-band signal that each is chosen is corresponding with it;
Judging unit, for judging each ratio of calculating whether in described first preset range.
10. sound of snoring checkout gear as claimed in claim 9, is characterized in that, described component units, also for the energy wave of the energy value composition high frequency band signal of each frame signal according to described high frequency band signal;
Describedly choose unit, also preset an energy value meeting the frame signal corresponding to pre-conditioned adjacent peak for choosing in the energy wave from described high frequency band signal, and obtain the energy value with the frame signal of the low-band signal corresponding to energy value of frame signal chosen, described pre-conditioned be that the time difference of adjacent peak is in the second preset range;
Described computing unit, also for the energy value that calculates the frame signal of the described low-band signal that each the obtains ratio with the energy value of the frame signal of high frequency band signal chosen;
Described judging unit, also for judging each ratio of calculating whether in described first preset range.
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| PCT/CN2016/101248 WO2017118126A1 (en) | 2016-01-05 | 2016-09-30 | Method and device for detecting snoring sound |
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| WO2017118126A1 (en) | 2017-07-13 |
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