CN113973254B - Noise reduction system of automobile audio power amplifier - Google Patents
Noise reduction system of automobile audio power amplifier Download PDFInfo
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- CN113973254B CN113973254B CN202111042447.1A CN202111042447A CN113973254B CN 113973254 B CN113973254 B CN 113973254B CN 202111042447 A CN202111042447 A CN 202111042447A CN 113973254 B CN113973254 B CN 113973254B
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- 238000012545 processing Methods 0.000 claims abstract description 57
- 238000013480 data collection Methods 0.000 claims abstract description 11
- 230000008030 elimination Effects 0.000 claims abstract description 7
- 238000003379 elimination reaction Methods 0.000 claims abstract description 7
- 238000012795 verification Methods 0.000 claims description 41
- 238000012544 monitoring process Methods 0.000 claims description 9
- 238000000034 method Methods 0.000 claims description 6
- 101100366707 Arabidopsis thaliana SSL11 gene Proteins 0.000 claims description 5
- 101100366710 Arabidopsis thaliana SSL12 gene Proteins 0.000 claims description 5
- 101100366711 Arabidopsis thaliana SSL13 gene Proteins 0.000 claims description 3
- 101000642815 Homo sapiens Protein SSXT Proteins 0.000 claims description 3
- 101100366561 Panax ginseng SS11 gene Proteins 0.000 claims description 3
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- 101100366563 Panax ginseng SS13 gene Proteins 0.000 claims description 3
- 102100035586 Protein SSXT Human genes 0.000 claims description 3
- 101000662518 Solanum tuberosum Sucrose synthase Proteins 0.000 claims description 3
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- 230000015556 catabolic process Effects 0.000 abstract description 6
- 238000006731 degradation reaction Methods 0.000 abstract description 6
- 230000005236 sound signal Effects 0.000 description 8
- 238000001228 spectrum Methods 0.000 description 6
- 238000001914 filtration Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 2
- 230000002452 interceptive effect Effects 0.000 description 2
- 238000007792 addition Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R3/00—Circuits for transducers, loudspeakers or microphones
- H04R3/02—Circuits for transducers, loudspeakers or microphones for preventing acoustic reaction, i.e. acoustic oscillatory feedback
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10K—SOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
- G10K11/00—Methods or devices for transmitting, conducting or directing sound in general; Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
- G10K11/16—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
- G10K11/175—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound
- G10K11/178—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase
- G10K11/1781—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase characterised by the analysis of input or output signals, e.g. frequency range, modes, transfer functions
- G10K11/17813—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase characterised by the analysis of input or output signals, e.g. frequency range, modes, transfer functions characterised by the analysis of the acoustic paths, e.g. estimating, calibrating or testing of transfer functions or cross-terms
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10K—SOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
- G10K11/00—Methods or devices for transmitting, conducting or directing sound in general; Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
- G10K11/16—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
- G10K11/175—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound
- G10K11/178—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase
- G10K11/1785—Methods, e.g. algorithms; Devices
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10K—SOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
- G10K11/00—Methods or devices for transmitting, conducting or directing sound in general; Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
- G10K11/16—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
- G10K11/175—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound
- G10K11/178—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase
- G10K11/1787—General system configurations
- G10K11/17879—General system configurations using both a reference signal and an error signal
- G10K11/17881—General system configurations using both a reference signal and an error signal the reference signal being an acoustic signal, e.g. recorded with a microphone
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- Engineering & Computer Science (AREA)
- Acoustics & Sound (AREA)
- Multimedia (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Otolaryngology (AREA)
- Signal Processing (AREA)
- Circuit For Audible Band Transducer (AREA)
- Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
Abstract
The invention discloses a noise reduction system of an automobile audio power amplifier, which comprises a recording unit, a primary descent processing unit, a interception unit, a secondary descent unit, a data real acquisition unit, a distributed processing unit, a data collection unit, an MCU, a management unit and an execution unit, wherein the recording unit is used for recording the data of the automobile audio power amplifier; the primary descent processing unit receives the real-time audio transmitted by the recording unit; the invention records the real-time audio of the vehicle owner through the recording unit, transmits the real-time audio to the primary descent processing unit, and then intercepts the source audio of the playing source in the vehicle by the intercepting unit; the primary degradation processing unit performs primary noise elimination processing on the source audio to obtain primary degradation audio; therefore, the interference of the audio played in the waiting room on the voice during the audio acquisition in the automobile is completed.
Description
Technical Field
The invention belongs to the field of automobile audio noise reduction, relates to noise reduction technology, and particularly relates to a noise reduction system of an automobile audio power amplifier.
Background
Patent publication No. CN107481730a discloses a noise reduction method and system for an automobile pickup system, the automobile pickup system including a main pickup for picking up human-computer interactive voice and a sub pickup for picking up noise, the method comprising: reading the audio signals picked up by the main pickup and the auxiliary pickup; filtering background noise spectrum contained in the spectrum of the audio signal picked up by the auxiliary pickup to update the spectrum of the audio signal picked up by the auxiliary pickup; judging whether the audio intensity difference between the audio signal picked up by the main pickup and the audio signal picked up by the auxiliary pickup is larger than or equal to a preset value; if so, filtering the updated frequency spectrum of the audio signal picked up by the auxiliary pickup from the frequency spectrum of the audio signal picked up by the main pickup, and further performing band-pass filtering of a preset frequency band to update the frequency spectrum of the audio signal picked up by the main pickup. The method can reduce the real-time voice noise and the inherent noise of the automobile, and improves the noise reduction effect of the pickup system of the automobile.
However, when an instruction is required to be sent out in the process of running the automobile, a plurality of noises or the effect of the interactive audio is often influenced by the internal playing source of other automobiles; to solve this problem, a solution is now provided.
Disclosure of Invention
The invention aims to provide a noise reduction system of an automobile audio power amplifier.
The aim of the invention can be achieved by the following technical scheme:
a noise reduction system of an automobile audio power amplifier comprises a recording unit, a primary descent processing unit, an intercepting unit, a secondary descent unit, a data real acquisition unit, a distributed processing unit, a data collection unit, an MCU, a management unit and an execution unit;
the primary descent processing unit receives the real-time audio transmitted by the recording unit;
the intercepting unit is used for intercepting source audio of a playing source in the vehicle; the intercepting unit is used for transmitting source audio of a playing source in the vehicle to the primary drop processing unit, and the primary drop processing unit is used for performing primary noise elimination processing on the source audio to obtain primary drop audio;
the primary drop processing unit is used for transmitting the primary drop audio to the secondary drop unit, and the secondary drop unit receives the primary drop audio transmitted by the primary drop processing unit;
the data collection unit comprises a speed synchronization module, a noise monitoring module and a rainfall monitoring module which are arranged in the automobile; the data collection unit is used for establishing a stray noise model by combining the distributed processing unit;
the data real acquisition unit is used for acquiring the real-time speed and the real-time rainfall of the automobile when the primary drop audio is generated, and transmitting the real-time speed and the real-time rainfall to the secondary drop unit, wherein the secondary drop unit is used for carrying out secondary drop processing on the primary drop audio by combining the distributed processing unit to obtain the verification audio;
the secondary descent unit is used for transmitting the verification audio to the MCU, the MCU receives the verification audio transmitted by the secondary descent unit and transmits the verification audio to the execution unit, and the execution unit receives the verification audio transmitted by the MCU and gives feedback according to an operation instruction in the verification audio;
the management unit is used for inputting all preset values, and is in communication connection with the MCU.
Further, the preliminary noise elimination treatment specifically comprises the following steps:
step one: acquiring real-time audio;
step two: extracting source audio, and taking the source audio as background sound;
step three: background sound is removed from real-time audio, and the obtained audio is marked as primary audio;
step four: the source audio is audio played in real time, and the source audio comprises audio sources accessed from third party equipment and carried by the automobile; the third party device is specifically a mobile phone connected to the automobile.
Further, the stray noise model is specifically built as follows:
s1: acquiring real-time noise of the automobile by means of a noise monitoring module;
s2: acquiring a wave pattern of real-time noise, and distinguishing and dividing the wave pattern to obtain a selection stage;
s3: continuously performing the processing step of the step S2, and performing stage drawing on the real-time noise remained after the selection stage, wherein the real-time noise is all real-time noise obtained by continuously observing the driving of the automobile for half a year; obtaining a plurality of selection stages after the treatment is finished;
s4: data acquisition is carried out on a plurality of selection stages, and corresponding real-time speed Fan Zhi and rainfall information Fan Zhi of the automobile are acquired when the automobile runs; the real-time speed acquisition mode is as follows:
s401: acquiring the highest real-time speed and the lowest real-time speed of the automobile in the corresponding selection stage, and marking the highest real-time speed and the lowest real-time speed as the real-time speed Fan Zhi;
s402: the highest rainfall information and the lowest rainfall information of the automobile in the corresponding selection stage are obtained, and are marked as rainfall information Fan Zhi;
step S5: then, all the selection stages are in one-to-one correspondence with the speed information Fan Zhi and the rainfall information Fan Zhi;
step S6: establishing a corresponding model of the selection stage, the speed information Fan Zhi and the rainfall information range value to obtain a stray noise model;
step S7: the spurious noise model is stored in a distributed processing unit.
Further, the specific dividing step for distinguishing and dividing the wave pattern in the step S2 is as follows:
s201: all peaks and valleys are obtained, which are marked as F i, i=1..n, gj, j=1..m in sequence;
s202: then let i=1, select the correspondent crest, mark it as the initial peak value;
s203: then let i=i+1 in turn; acquiring corresponding wave peaks, and incorporating the wave peaks into a selected wave band when the difference value of the wave peaks is smaller than X1;
s204: repeating the steps S203-S204 until the difference between the obtained wave crest and the initial wave crest is not satisfied to be less than X1; marking a peak immediately preceding the peak as a peak end point;
s205: removing the tail of the selected wave band, namely acquiring a first wave trough and marking the first wave trough as an initial wave trough;
s206: sequentially selecting subsequent wave troughs, and marking the wave trough where the previous node of the exceeding wave trough is located as an ending node when the difference value between the subsequent wave trough and the initial wave trough exceeds X2;
s207: if the end node is positioned at the front end of the peak end node, marking the initial node to the end node as a selection stage;
and if the end node is positioned at the rear end of the peak end point, marking the initial node to the peak end point as a selection stage.
Further, the specific processing steps of the two-step down processing are as follows:
SS1: according to the real-time speed and the real-time rainfall, the stray noise model is marked as a target stage when being matched with a corresponding selection stage;
SS2: obtaining a target stage;
SS3: and taking the target stage as background sound, and removing the background sound from the primary audio to obtain the verification audio.
Further, the specific matching manner in step SS1 is:
SS11: if the real-time speed and the real-time rainfall do not belong to the speed information Fan Zhi and the rainfall information Fan Zhi, the following steps are selected:
SS12: taking an endpoint value of a speed information range value closest to the real-time speed, and marking a difference value obtained by subtracting the endpoint value from the real-time speed as a recognized difference value I;
SS13: then selecting rainfall information Fan Zhi matched with corresponding speed information Fan Zhi, obtaining an endpoint closest to the real-time rainfall, solving a difference value of the rainfall information Fan Zhi and the endpoint, and marking the difference value as a recognized difference value II;
SS14: and then calculating a verification difference value, wherein the specific calculation formula is as follows:
SS15: a verification difference=0.49 x a verification difference of one+0.51 x a verification difference of two;
SS16: then, obtaining the endpoint value of the rainfall information range value closest to the real-time rainfall, calculating the difference value of the rainfall information range value and the endpoint value, and marking the difference value as a first identification difference value; then, the speed information Fan Zhi corresponding to the rainfall information Fan Zhi is obtained to obtain the end point closest to the real-time speed, the difference value of the two is obtained, and the difference value is marked as a recognized difference value II; substituting into the step SS15 for calculation to obtain a second verification difference value;
SS17: according to the magnitude of the two verification differences, marking the rainfall information Fan Zhi and the speed information Fan Zhi corresponding to the small verification difference as target phases;
SS18: when any value of the real-time speed and the real-time rainfall belongs to the speed information Fan Zhi and the rainfall information Fan Zhi, the corresponding selection stage is directly marked as a target stage.
Further, the in-car playing source refers to all devices which can be connected with the car audio to enable the in-car playing source to generate, and the source audio refers to real-time playing content sent to the car audio by the corresponding in-car playing source.
The invention has the beneficial effects that:
the invention records the real-time audio of the vehicle owner through the recording unit, transmits the real-time audio to the primary descent processing unit, and then intercepts the source audio of the playing source in the vehicle by the intercepting unit; the primary degradation processing unit performs primary noise elimination processing on the source audio to obtain primary degradation audio; therefore, the interference of the audio played in the waiting room on the voice during the audio acquisition in the automobile is completed;
then, a stray noise model is established by combining the data collection unit with the distributed processing unit; according to the real-time speed and the real-time rainfall of the automobile when the primary drop audio is generated, the real-time speed and the real-time rainfall are transmitted to a secondary drop unit, and the secondary drop unit is combined with a stray noise model in the distributed processing unit to perform secondary drop processing on the primary drop audio, so that the verification audio is obtained; the interference of other sounds except the sound played by the automobile is eliminated; the invention is simple and effective, and is easy and practical.
Drawings
The present invention is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
Fig. 1 is a system block diagram of the present invention.
Detailed Description
As shown in fig. 1, a noise reduction system of an automotive audio power amplifier,
the system comprises a recording unit, a primary descent processing unit, an intercepting unit, a secondary descent unit, a data real acquisition unit, a distributed processing unit, a data collection unit, an MCU, a management unit and an execution unit;
the primary descent processing unit receives the real-time audio transmitted by the recording unit; the intercepting unit is used for intercepting source audio of an in-car playing source, wherein the in-car playing source refers to all equipment which can be connected with the car audio to enable the in-car playing source to occur, and the source audio refers to real-time playing content sent to the car audio by the corresponding in-car playing source; the intercepting unit is used for transmitting source audio of a playing source in the vehicle to the primary descending processing unit, and the primary descending processing unit receives the source audio transmitted by the intercepting unit and performs primary denoising processing on the source audio, wherein the primary denoising processing comprises the following specific steps of:
step one: acquiring real-time audio;
step two: extracting source audio, and taking the source audio as background sound;
step three: background sound is removed from real-time audio, and the obtained audio is marked as primary audio;
step four: the source audio is audio played in real time, and the source audio comprises audio sources accessed from third party equipment and carried by the automobile; the third party equipment is a mobile phone accessed to the automobile;
the primary drop processing unit is used for transmitting the primary drop audio to the secondary drop unit, and the secondary drop unit receives the primary drop audio transmitted by the primary drop processing unit;
the data collection unit comprises a speed synchronization module, a noise monitoring module and a rainfall monitoring module which are arranged in the automobile; the data collection unit is used for combining the distributed processing unit to establish a spurious noise model, and the spurious noise model is specifically established as follows:
s1: acquiring real-time noise of the automobile by means of a noise monitoring module;
s2: the method comprises the steps of obtaining a wave pattern of real-time noise, and distinguishing and dividing the wave pattern, wherein the specific distinguishing and dividing steps are as follows:
s201: all peaks and valleys are obtained, which are marked as F i, i=1..n, gj, j=1..m in sequence;
s202: then let i=1, select the correspondent crest, mark it as the initial peak value;
s203: then let i=i+1 in turn; acquiring corresponding wave peaks, and incorporating the wave peaks into a selected wave band when the difference value of the wave peaks is smaller than X1;
s204: repeating the steps S203-S204 until the difference between the obtained wave crest and the initial wave crest is not satisfied to be less than X1; marking a peak immediately preceding the peak as a peak end point;
s205: removing the tail of the selected wave band, namely acquiring a first wave trough and marking the first wave trough as an initial wave trough;
s206: sequentially selecting subsequent wave troughs, and marking the wave trough where the previous node of the exceeding wave trough is located as an ending node when the difference value between the subsequent wave trough and the initial wave trough exceeds X2;
s207: if the end node is positioned at the front end of the peak end node, marking the initial node to the end node as a selection stage;
if the end node is positioned at the rear end of the peak end point, marking the initial node to the peak end point as a selection stage;
s3: continuously performing the processing step of the step S2, and performing stage drawing on the real-time noise remained after the selection stage, wherein the real-time noise is all real-time noise obtained by continuously observing the driving of the automobile for half a year; obtaining a plurality of selection stages after the treatment is finished;
s4: data acquisition is carried out on a plurality of selection stages, and corresponding real-time speed Fan Zhi and rainfall information Fan Zhi of the automobile are acquired when the automobile runs; the real-time speed acquisition mode is as follows:
s401: acquiring the highest real-time speed and the lowest real-time speed of the automobile in the corresponding selection stage, and marking the highest real-time speed and the lowest real-time speed as the real-time speed Fan Zhi;
s402: the highest rainfall information and the lowest rainfall information of the automobile in the corresponding selection stage are obtained, and are marked as rainfall information Fan Zhi;
step S5: then, all the selection stages are in one-to-one correspondence with the speed information Fan Zhi and the rainfall information Fan Zhi;
step S6: establishing a corresponding model of the selection stage, the speed information Fan Zhi and the rainfall information range value to obtain a stray noise model;
step S7: storing the spurious noise model in a distributed processing unit;
the data real acquisition unit is used for acquiring the real-time speed and the real-time rainfall of the automobile when the primary drop audio is generated, transmitting the real-time speed and the real-time rainfall to the secondary drop unit, and the secondary drop unit is used for carrying out secondary drop processing on the primary drop audio by combining the distributed processing unit, and comprises the following specific processing steps of:
SS1: according to the real-time speed and the real-time rainfall, when the stray noise model is matched to a corresponding selection stage, the stray noise model is marked as a target stage, and the specific matching mode is as follows:
SS11: if the real-time speed and the real-time rainfall do not belong to the speed information Fan Zhi and the rainfall information Fan Zhi, the following steps are selected:
SS12: taking an endpoint value of a speed information range value closest to the real-time speed, and marking a difference value obtained by subtracting the endpoint value from the real-time speed as a recognized difference value I;
SS13: then selecting rainfall information Fan Zhi matched with corresponding speed information Fan Zhi, obtaining an endpoint closest to the real-time rainfall, solving a difference value of the rainfall information Fan Zhi and the endpoint, and marking the difference value as a recognized difference value II;
SS14: and then calculating a verification difference value, wherein the specific calculation formula is as follows:
SS15: a verification difference=0.49 x a verification difference of one+0.51 x a verification difference of two;
SS16: then, obtaining the endpoint value of the rainfall information range value closest to the real-time rainfall, calculating the difference value of the rainfall information range value and the endpoint value, and marking the difference value as a first identification difference value; then, the speed information Fan Zhi corresponding to the rainfall information Fan Zhi is obtained to obtain the end point closest to the real-time speed, the difference value of the two is obtained, and the difference value is marked as a recognized difference value II; substituting into the step SS15 for calculation to obtain a second verification difference value;
SS17: according to the magnitude of the two verification differences, marking the rainfall information Fan Zhi and the speed information Fan Zhi corresponding to the small verification difference as target phases;
SS18: when any value of the real-time speed and the real-time rainfall belongs to the speed information Fan Zhi and the rainfall information Fan Zhi, the corresponding selection stage is directly marked as a target stage;
SS2: obtaining a target stage;
SS3: taking the target stage as background sound, removing the background sound from the primary audio to obtain verification audio;
the secondary descent unit is used for transmitting the verification audio to the MCU, the MCU receives the verification audio transmitted by the secondary descent unit and transmits the verification audio to the execution unit, and the execution unit receives the verification audio transmitted by the MCU, is used for identifying whether the verification audio relates to an operation instruction or not and gives feedback according to the operation instruction;
the management unit is used for inputting all preset values, and is in communication connection with the MCU.
A noise reduction system of an automobile audio power amplifier is characterized in that a recording unit records real-time audio of an automobile owner, the real-time audio is transmitted to a primary descent processing unit, and then a capturing unit is utilized to capture source audio of a playing source in the automobile; the primary degradation processing unit performs primary noise elimination processing on the source audio to obtain primary degradation audio; therefore, the interference of the audio played in the waiting room on the voice during the audio acquisition in the automobile is completed;
then, a stray noise model is established by combining the data collection unit with the distributed processing unit; according to the real-time speed and the real-time rainfall of the automobile when the primary drop audio is generated, the real-time speed and the real-time rainfall are transmitted to a secondary drop unit, and the secondary drop unit is combined with a stray noise model in the distributed processing unit to perform secondary drop processing on the primary drop audio, so that the verification audio is obtained; the interference of other sounds except the sound played by the automobile is eliminated; the invention is simple and effective, and is easy and practical.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
Claims (6)
1. A noise reduction system for an automotive audio power amplifier, comprising:
the recording unit is used for recording real-time audio of the vehicle owner through a microphone and transmitting the real-time audio to the primary descent processing unit;
the intercepting unit is used for intercepting source audio of a playing source in the vehicle; the primary drop processing unit performs primary noise elimination processing on the source audio to obtain primary drop audio, and transmits the primary drop audio to the secondary drop unit;
the data collection unit is used for establishing a spurious noise model in combination with the distributed processing unit;
the data real acquisition unit is used for acquiring real-time speed and real-time rainfall information of the automobile when the primary descent audio is generated and transmitting the real-time speed and real-time rainfall information to the secondary descent unit; the secondary drop unit combines the distributed processing unit to perform secondary drop processing on the primary drop audio to obtain verification audio and transmit the verification audio to the MCU;
the execution unit receives the verification audio transmitted by the MCU and gives feedback according to an operation instruction in the verification audio;
the preliminary noise elimination treatment comprises the following specific steps:
step one: acquiring real-time audio;
step two: extracting source audio, and taking the source audio as background sound;
step three: background sound is removed from real-time audio, and the obtained audio is marked as primary audio;
step four: the source audio is audio played in real time, and the source audio comprises audio sources accessed from third party equipment and carried by the automobile; the third party equipment is a mobile phone accessed to the automobile;
the data collection unit comprises a speed synchronization module, a noise monitoring module and a rainfall monitoring module which are arranged in the automobile; the stray noise model is specifically built as follows:
step S1: acquiring real-time noise of the automobile by means of a noise monitoring module;
step S2: acquiring a wave pattern of real-time noise, and distinguishing and dividing the wave pattern to obtain a selection stage;
step S3: continuously performing the processing step of the step S2, and performing stage drawing on the real-time noise remained after the selection stage, wherein the real-time noise is all real-time noise obtained by continuously observing the driving of the automobile for half a year; obtaining a plurality of selection stages after the treatment is finished;
step S4: data acquisition is carried out on a plurality of selection stages, and the corresponding real-time speed Fan Zhi and rainfall information Fan Zhi when the automobile runs are obtained:
step S5: then, all the selection stages are in one-to-one correspondence with the speed information Fan Zhi and the rainfall information Fan Zhi;
step S6: establishing a corresponding model of the selection stage, the speed information Fan Zhi and the rainfall information range value to obtain a stray noise model;
step S7: storing the spurious noise model in a distributed processing unit;
the specific dividing step of the step S2 for distinguishing and dividing the wave pattern is as follows:
step S201: all peaks and valleys are obtained, which are marked Fi, i=1..n, gj, j=1..m in sequence;
step S202: then let i=1, select the correspondent crest, mark it as the initial peak value;
step S203: then let i=i+1 in turn; acquiring corresponding wave peaks, and incorporating the wave peaks into a selected wave band when the difference value of the wave peaks is smaller than X1;
step S204: repeating the steps S203-S204 until the difference between the obtained wave crest and the initial wave crest is not satisfied to be less than X1; marking a peak immediately preceding the peak as a peak end point;
step S205: removing the tail of the selected wave band, namely acquiring a first wave trough and marking the first wave trough as an initial wave trough;
step S206: sequentially selecting subsequent wave troughs, and marking the wave trough where the previous node of the exceeding wave trough is located as an ending node when the difference value between the subsequent wave trough and the initial wave trough exceeds X2;
step S207: if the end node is positioned at the front end of the peak end node, marking the initial node to the end node as a selection stage;
and if the end node is positioned at the rear end of the peak end point, marking the initial node to the peak end point as a selection stage.
2. The noise reduction system of an automotive audio power amplifier according to claim 1, wherein the specific processing steps of the two-step down process are:
step SS1: according to the real-time speed and the real-time rainfall, the stray noise model is marked as a target stage when being matched with a corresponding selection stage;
step SS2: obtaining a target stage;
step SS3: and taking the target stage as background sound, and removing the background sound from the primary audio to obtain the verification audio.
3. The noise reduction system of an automobile audio power amplifier according to claim 2, wherein the specific matching manner in step SS1 is:
SS11: if the real-time speed and the real-time rainfall do not belong to the speed information Fan Zhi and the rainfall information Fan Zhi, the following steps are selected:
SS12: taking an endpoint value of a speed information range value closest to the real-time speed, and marking a difference value obtained by subtracting the endpoint value from the real-time speed as a recognized difference value I;
SS13: then selecting rainfall information Fan Zhi matched with corresponding speed information Fan Zhi, obtaining an endpoint closest to the real-time rainfall, solving a difference value of the rainfall information Fan Zhi and the endpoint, and marking the difference value as a recognized difference value II;
SS14: and then calculating a verification difference value, wherein the specific calculation formula is as follows:
SS15: a verification difference=0.49 x a verification difference of one+0.51 x a verification difference of two;
SS16: then, obtaining the endpoint value of the rainfall information range value closest to the real-time rainfall, calculating the difference value of the rainfall information range value and the endpoint value, and marking the difference value as a first identification difference value; then, the speed information Fan Zhi corresponding to the rainfall information Fan Zhi is obtained to obtain the end point closest to the real-time speed, the difference value of the two is obtained, and the difference value is marked as a recognized difference value II; substituting into the step SS15 for calculation to obtain a second verification difference value;
SS17: according to the magnitude of the two verification differences, marking the rainfall information Fan Zhi and the speed information Fan Zhi corresponding to the small verification difference as target phases;
SS18: when any value of the real-time speed and the real-time rainfall belongs to the speed information Fan Zhi and the rainfall information Fan Zhi, the corresponding selection stage is directly marked as a target stage.
4. The noise reduction system of an automotive audio power amplifier according to claim 1, wherein the in-car playback source refers to all devices that can be connected to the automotive audio to cause it to occur, and the source audio refers to real-time playback content sent to the automotive audio by the corresponding in-car playback source.
5. The noise reduction system of an automotive audio power amplifier according to claim 1, further comprising a management unit for entering all preset values, said management unit being in communication connection with the MCU.
6. The noise reduction system of an automobile audio power amplifier according to claim 1, wherein the step S4 of obtaining the real-time speed Fan Zhi and the rain information range value when the automobile is running comprises:
s401: acquiring the highest real-time speed and the lowest real-time speed of the automobile in the corresponding selection stage, and marking the highest real-time speed and the lowest real-time speed as the real-time speed Fan Zhi;
s402: the highest rainfall information and the lowest rainfall information of the automobile in the corresponding selection stage are obtained and marked as rainfall information Fan Zhi.
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| CN103577144A (en) * | 2012-07-23 | 2014-02-12 | 上海博泰悦臻电子设备制造有限公司 | Voice input method and voice input system of vehicle-mounted device |
| CN108091341A (en) * | 2017-11-28 | 2018-05-29 | 湖南海翼电子商务股份有限公司 | Audio signal processing method and vehicle electronic device |
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| JP4352790B2 (en) * | 2002-10-31 | 2009-10-28 | セイコーエプソン株式会社 | Acoustic model creation method, speech recognition device, and vehicle having speech recognition device |
| JP4549243B2 (en) * | 2005-07-05 | 2010-09-22 | アルパイン株式会社 | In-vehicle audio processor |
| US10996680B2 (en) * | 2018-12-31 | 2021-05-04 | Siemens Industry Software Inc. | Environmental perception in autonomous driving using captured audio |
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| CN103577144A (en) * | 2012-07-23 | 2014-02-12 | 上海博泰悦臻电子设备制造有限公司 | Voice input method and voice input system of vehicle-mounted device |
| CN108091341A (en) * | 2017-11-28 | 2018-05-29 | 湖南海翼电子商务股份有限公司 | Audio signal processing method and vehicle electronic device |
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