CN207869389U - A kind of voice de-noising sound pick-up based on Homogeneous Circular microphone array - Google Patents
A kind of voice de-noising sound pick-up based on Homogeneous Circular microphone array Download PDFInfo
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- CN207869389U CN207869389U CN201820163332.5U CN201820163332U CN207869389U CN 207869389 U CN207869389 U CN 207869389U CN 201820163332 U CN201820163332 U CN 201820163332U CN 207869389 U CN207869389 U CN 207869389U
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Abstract
The utility model discloses a kind of voice de-noising sound pick-up based on Homogeneous Circular microphone array, including audio collection unit, audio coding decoding unit, audio treatment unit, long distance driver unit, it is characterised in that：The audio collection unit, include the Homogeneous Circular microphone array of 7 MEMS microphones composition, wherein 1 microphone is located at the center of circle, 6 microphones are evenly distributed in periphery, the audio coding decoding unit, including A/D converter and D/A converter, the audio treatment unit, using dsp chip, the long distance driver unit, including rear class amplification and the amplifying circuit for expanding transmission distance.The sound pick-up have the advantages that acquire sound quality height, excellent noise reduction effect, acquisition range greatly, long transmission distance.
Description
Technical field
The utility model belongs to monitoring picker technical field more particularly to a kind of based on Homogeneous Circular microphone array
Voice de-noising sound pick-up.
Background technology
Collected signal is directly amplified output by traditional security protection sound pick-up generally by analog circuit pickup, this
The shortcomings that sound pick-up is：
1, in practical applications, there are larger ambient noises for ambient enviroment, and the method by simulating noise reduction cannot be effective
Ground reduces the noise of entire frequency range, or even the high frequency section of sound is lost, and causes the signal quality of output not high.
2, there are the smaller defects of pickup range for the sound pick-up.
3, the microphone fidelity selected is relatively low, and there are difference with actual sound for the voice signal of acquisition.
For above several point defects, the utility model proposes a kind of voice de-noisings based on Homogeneous Circular microphone array to pick up
Sound device can effectively solve the above problems.
Utility model content
The purpose of this utility model is：For the defect of traditional sound pick-up, the utility model provides a kind of acquisition sound
Quality height, excellent noise reduction effect, acquisition range be big, long transmission distance sound pick-up.
Technical solution used by the utility model is：A kind of voice de-noising pickup based on Homogeneous Circular microphone array
Device, including audio collection unit, audio coding decoding unit, audio treatment unit, long distance driver unit, it is characterised in that：
The audio collection unit includes the Homogeneous Circular microphone array of 7 MEMS microphones composition, wherein 1 microphone
Positioned at the center of circle, 6 microphones are evenly distributed in periphery, and the audio signal for acquiring environment simultaneously converts thereof into electric signal and is sent to
Audio treatment unit；
The audio coding decoding unit, including A/D converter, for the analog signal of audio collection unit to be converted into counting
Word signal, is transferred to audio treatment unit；Further include D/A converter, the digital signal that the audio treatment unit has been handled
It is converted into analog signal, is transmitted to long distance driver unit；
The audio treatment unit, using dsp chip, at the audio signal for being acquired to audio collection unit
Reason realizes the coding of audio signal, filtering, enhancing, decoding function；
The long distance driver unit, including rear class amplification and the amplifying circuit for expanding transmission distance, for compiling audio
The analog signal amplification of decoding unit conversion, and signal transmission distance is made to be expanded.
Further, the Homogeneous Circular microphone array of 7 MEMS microphones composition, wherein the microphone selection of periphery 6
Sampling rate is 8KHz, sampling precision 4bit；1, center of circle microphone selects sampling rate for 44.1KHz, sampling precision 16bit.
Further, the circular microphone array of 7 MEMS microphones composition can identify 6 orientation source simultaneously
Voice signal, Wave beam forming range are 0 ° -360 °.
Further, the dsp chip of the audio treatment unit selects TMS320C6748 chips.
The utility model has the beneficial effects that：The voice de-noising based on Homogeneous Circular microphone array of the utility model picks up
Sound device, has the following advantages that：
1, voice de-noising sound pick-up provided by the utility model, array use 7 highly sensitive patch type MEMS sound pick-ups,
Wherein 6 pieces of periphery composition Homogeneous Circular array realizes Wave beam forming, is accurately positioned Sounnd source direction, one piece of center of circle pickup high quality language
Sound signal, postposition DSP voice signal processing modules are filtered, and enhance voice signal.
2, simultaneously, the microphone of periphery 6 completes sound source positioning function using low sampling rate, can substantially reduce DSP operation amount,
1, center microphone is using high sampling rate to ensure call voice fidelity.
3, the circular microphone array of seven MEMS microphones can identify the voice signal in most 6 orientation sources, wave simultaneously
It is 0 ° -360 ° that beam, which forms range, and orientation recognition precision is 2 times of conventional line array.
4, control is enhanced by the Microphone Array Speech that Adaptive beamformer is merged with post-filtering, to coherent noise
There is preferable de-noising function with noncoherent noise.By automatic gain control function, the volume for solving far and near sound is poor
Not apparent problem.By long distance driver unit, solves the problems, such as remote pickup.
Description of the drawings
Fig. 1 is the composition schematic diagram of the utility model.
Specific implementation mode
The utility model in order to better understand furthers elucidate the content of the utility model with reference to embodiment, but
The content of the utility model is not limited solely to the following examples.Those skilled in the art can make the utility model various
Change or modification, such equivalent forms are equally listed by the application within the scope of claims limited.
The utility model is explained in detail below：
It is compiled as shown in Figure 1 by audio collection unit, audio based on the voice de-noising sound pick-up of Homogeneous Circular microphone array
Decoding unit, audio treatment unit and long distance driver unit composition.
Audio collection unit includes the Homogeneous Circular microphone array for acquiring the 7 of ambient sound MEMS microphones composition
Row；Audio coding decoding unit includes the high-precision A/D of high sampling rate, D/A converter；Audio treatment unit is by core dsp chip
(TMS320C6748 chips) forms, and completes voice coding, beam forming, blind source separating, post-filtering, speech enhan-cement, voice solution
The function of code, automatic growth control；Long distance driver unit includes rear class amplification and the amplifying circuit for expanding transmission distance.
Audio collection unit is made of 7 MEMS microphones.Using 7 highly sensitive patch type MEMS sound pick-ups, China and foreign countries
It encloses 6 pieces of composition Homogeneous Circular arrays and realizes Wave beam forming, be accurately positioned Sounnd source direction, high-quality audio signals are picked up in 1 piece of the center of circle,
Postposition DSP voice signal processing modules are filtered, and enhance voice signal.Peripheral 6 microphones are completed using low sampling rate
Sound source positioning function can substantially reduce DSP operation amount, and 1, center microphone is using high sampling rate to ensure call voice fidelity
Degree.Peripheral Homogeneous Circular microphone array column selection sampling rate is 8KHz, sampling precision 4bit, center of circle Mike's selection by winnowing in this programme
It selects sampling rate and data is received by McBSP1 for 44.1KHz, sampling precision 16bit, DSP.The round Mike of 7 MEMS microphones
Wind array can identify that the voice signal in most 6 orientation sources, Wave beam forming range are 0 ° -360 ° simultaneously, orientation recognition precision
It is 2 times of conventional line array.
Special preposition amplification ASIC has been integrated with inside microphone to provide highly sensitive and signal-to-noise ratio, quasi-stereo, spirit
Sensitivity is -29--23dBV/Pa, frequency response 100Hz-7KHz, output impedance 100Ohms.Noise except sound passes through
Filter circuit completes filtering.
Audio coding decoding unit completes 7 tunnel audio signal A/D and 2 railway digital signal D/A functions, sampling using IC is integrated
Rate highest supports 96K.
Audio treatment unit is the core cell of sound pick-up.The signal of 7 microphones acquisition is after pre-filtering, A/D conversions
Form digital signal.Airspace filter is carried out by being weighted to each array element, achievees the purpose that enhance desired signal, inhibit interference；Respectively
Weighted factor adaptively changes according to the variation of signal environment, to allow the array phase in the same direction in a certain desired orientation
Add, and then array is made to generate a main lobe wave in this direction, and to generating smaller response on other directions, in this way
The orientation that beam scanning can determine aerial measured signal is carried out to entire space.
It these are only the embodiments of the present invention, be not intended to limit the utility model, it is therefore, all in this practicality
Within novel spirit and principle, any modification, equivalent substitution, improvement and etc. done should be included in the power of the utility model
Within sharp claimed range.
Claims (4)
1. a kind of voice de-noising sound pick-up based on Homogeneous Circular microphone array, including audio collection unit, audio coding decoding
Unit, audio treatment unit, long distance driver unit, it is characterised in that：
The audio collection unit includes the Homogeneous Circular microphone array of 7 MEMS microphones composition, wherein 1 microphone is located at
The center of circle, 6 microphones are evenly distributed in periphery, and the audio signal for acquiring environment simultaneously converts thereof into electric signal and is sent to audio
Processing unit；
The audio coding decoding unit, including A/D converter, for the analog signal of audio collection unit to be converted into digital letter
Number, it is transferred to audio treatment unit；Further include D/A converter, the digital signal that the audio treatment unit has been handled is converted
At analog signal, it is transmitted to long distance driver unit；
The audio treatment unit, using dsp chip, the audio signal for being acquired to audio collection unit is handled, real
The coding of existing audio signal, filtering, enhancing, decoding function；
The long distance driver unit, including rear class amplification and the amplifying circuit for expanding transmission distance, are used for audio coding decoding
The analog signal of cell translation is amplified, and signal transmission distance is made to be expanded.
2. the voice de-noising sound pick-up according to claim 1 based on Homogeneous Circular microphone array, which is characterized in that institute
The Homogeneous Circular microphone array of 7 MEMS microphones composition is stated, wherein peripheral 6 microphones select sampling rate for 8KHz, sampling
Precision 4bit；1, center of circle microphone selects sampling rate for 44.1KHz, sampling precision 16bit.
3. the voice de-noising sound pick-up according to claim 1 or 2 based on Homogeneous Circular microphone array, feature exist
In the circular microphone array of 7 MEMS microphones composition can identify the voice signal in 6 orientation source, wave beam simultaneously
It is 0 ° -360 ° to form range.
4. the voice de-noising sound pick-up according to claim 1 based on Homogeneous Circular microphone array, which is characterized in that institute
The dsp chip for stating audio treatment unit selects TMS320C6748 chips.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201820163332.5U CN207869389U (en) | 2018-01-31 | 2018-01-31 | A kind of voice de-noising sound pick-up based on Homogeneous Circular microphone array |
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| CN201820163332.5U CN207869389U (en) | 2018-01-31 | 2018-01-31 | A kind of voice de-noising sound pick-up based on Homogeneous Circular microphone array |
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110412509A (en) * | 2019-08-21 | 2019-11-05 | 西北工业大学 | A kind of sonic location system based on MEMS microphone array |
| CN110517704A (en) * | 2019-08-23 | 2019-11-29 | 南京邮电大学 | A kind of speech processing system based on microphone array beamforming algorithm |
| CN110993000A (en) * | 2019-12-11 | 2020-04-10 | 深圳市泰宝峰科技有限公司 | Multi-microphone array noise-reducing recorder |
| US10743100B1 (en) * | 2019-02-11 | 2020-08-11 | Totemic Labs, Inc. | System and method for processing multi-directional audio and RF backscattered signals |
| US11462330B2 (en) | 2017-08-15 | 2022-10-04 | Koko Home, Inc. | System and method for processing wireless backscattered signal using artificial intelligence processing for activities of daily life |
| US11558717B2 (en) | 2020-04-10 | 2023-01-17 | Koko Home, Inc. | System and method for processing using multi-core processors, signals, and AI processors from multiple sources to create a spatial heat map of selected region |
| US11719804B2 (en) | 2019-09-30 | 2023-08-08 | Koko Home, Inc. | System and method for determining user activities using artificial intelligence processing |
| US11948441B2 (en) | 2019-02-19 | 2024-04-02 | Koko Home, Inc. | System and method for state identity of a user and initiating feedback using multiple sources |
| US11971503B2 (en) | 2019-02-19 | 2024-04-30 | Koko Home, Inc. | System and method for determining user activities using multiple sources |
| US11997455B2 (en) | 2019-02-11 | 2024-05-28 | Koko Home, Inc. | System and method for processing multi-directional signals and feedback to a user to improve sleep |
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Cited By (14)
| Publication number | Priority date | Publication date | Assignee | Title |
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| US11462330B2 (en) | 2017-08-15 | 2022-10-04 | Koko Home, Inc. | System and method for processing wireless backscattered signal using artificial intelligence processing for activities of daily life |
| US11776696B2 (en) | 2017-08-15 | 2023-10-03 | Koko Home, Inc. | System and method for processing wireless backscattered signal using artificial intelligence processing for activities of daily life |
| US10743100B1 (en) * | 2019-02-11 | 2020-08-11 | Totemic Labs, Inc. | System and method for processing multi-directional audio and RF backscattered signals |
| US11218800B2 (en) * | 2019-02-11 | 2022-01-04 | Koko Home, Inc. | System and method for processing multi-directional audio and RF backscattered signals |
| US11997455B2 (en) | 2019-02-11 | 2024-05-28 | Koko Home, Inc. | System and method for processing multi-directional signals and feedback to a user to improve sleep |
| US11948441B2 (en) | 2019-02-19 | 2024-04-02 | Koko Home, Inc. | System and method for state identity of a user and initiating feedback using multiple sources |
| US11971503B2 (en) | 2019-02-19 | 2024-04-30 | Koko Home, Inc. | System and method for determining user activities using multiple sources |
| CN110412509A (en) * | 2019-08-21 | 2019-11-05 | 西北工业大学 | A kind of sonic location system based on MEMS microphone array |
| CN110517704B (en) * | 2019-08-23 | 2022-02-11 | 南京邮电大学 | Voice processing system based on microphone array beam forming algorithm |
| CN110517704A (en) * | 2019-08-23 | 2019-11-29 | 南京邮电大学 | A kind of speech processing system based on microphone array beamforming algorithm |
| US11719804B2 (en) | 2019-09-30 | 2023-08-08 | Koko Home, Inc. | System and method for determining user activities using artificial intelligence processing |
| CN110993000A (en) * | 2019-12-11 | 2020-04-10 | 深圳市泰宝峰科技有限公司 | Multi-microphone array noise-reducing recorder |
| US11558717B2 (en) | 2020-04-10 | 2023-01-17 | Koko Home, Inc. | System and method for processing using multi-core processors, signals, and AI processors from multiple sources to create a spatial heat map of selected region |
| US11736901B2 (en) | 2020-04-10 | 2023-08-22 | Koko Home, Inc. | System and method for processing using multi-core processors, signals, and AI processors from multiple sources to create a spatial heat map of selected region |
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