CN113301461A - Active noise reduction method and system based on ambient sound elimination - Google Patents
Active noise reduction method and system based on ambient sound elimination Download PDFInfo
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- CN113301461A CN113301461A CN202110527555.1A CN202110527555A CN113301461A CN 113301461 A CN113301461 A CN 113301461A CN 202110527555 A CN202110527555 A CN 202110527555A CN 113301461 A CN113301461 A CN 113301461A
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- 230000005236 sound signal Effects 0.000 claims abstract description 24
- 230000007613 environmental effect Effects 0.000 abstract description 16
- 230000001629 suppression Effects 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
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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
- H04R1/00—Details of transducers, loudspeakers or microphones
- H04R1/08—Mouthpieces; Microphones; Attachments therefor
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L21/00—Speech or voice signal processing techniques to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
- G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
- G10L21/0208—Noise filtering
- G10L21/0216—Noise filtering characterised by the method used for estimating noise
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L21/00—Speech or voice signal processing techniques to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
- G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
- G10L21/0208—Noise filtering
- G10L21/0216—Noise filtering characterised by the method used for estimating noise
- G10L21/0232—Processing in the frequency domain
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L21/00—Speech or voice signal processing techniques to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
- G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
- G10L21/0208—Noise filtering
- G10L21/0216—Noise filtering characterised by the method used for estimating noise
- G10L2021/02161—Number of inputs available containing the signal or the noise to be suppressed
- G10L2021/02166—Microphone arrays; Beamforming
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Abstract
The embodiment of the invention discloses an active noise reduction method and system based on environmental sound elimination. The method comprises the following steps: the active noise reduction method based on the ambient sound elimination is characterized by comprising the following steps: picking up voice signals M1 and R1 by the main microphone array; picking up the ambient sound signals M2 and R2 by the microphone array; and a human voice signal alpha is calculated and restored to be M1-M2 according to the voice signals M1 and R1 and the environment sound signals M2 and R2. The auxiliary microphone array is used for picking up the environmental noise (M2 and R2), the main microphone array is used for picking up the human speech sound (M1 and R1), the distance d2 between the auxiliary microphone array and the human speech is more than 5 times of the distance d1 between the main microphone array and the human speech, so that R1 and R2 are approximately equal, the human speech signal alpha is approximately equal to M1-M2, clear pickup and active elimination of the environmental sound are achieved, application obstacles cannot be formed aiming at an omnidirectional pickup scene, and some unnecessary human speech interference can be eliminated well.
Description
Technical Field
The invention relates to the technical field of sound processing, in particular to an active noise reduction method and system based on ambient sound elimination.
Background
In daily life, people inevitably come into contact with various noises, such as that the other side of the telephone is unclear to talk due to too much noise in the process of making a call on a subway, that the interphone fails to communicate due to too much wind noise on an airport and the like. The traditional voice noise reduction technology is to perform out-of-beam noise suppression through waveforms constructed by a plurality of microphone arrays or eliminate specified noise through neural network model training based on environmental sounds. The external beam noise suppression by the former can effectively suppress white noise and human voice of 10-15 dB, and the noise suppressed by the latter is mainly audio in training data and is generally steady white noise.
The two voice noise reduction technologies have the following technical defects:
(one) conventional speech noise reduction techniques: through beam forming noise suppression, the suppression amplitude is limited, and larger noise residue often exists, so that larger interference still exists in the application process to influence the use; meanwhile, because the beam has performability, application obstacles can be formed aiming at some scenes of omnidirectional pickup;
(II) a technology based on deep neural network noise suppression: the steady-state explosion noise can be effectively suppressed, but the unwanted vocal interference, such as an interference scene of speaking by multiple persons around a subway station, cannot be well eliminated.
Disclosure of Invention
In view of the foregoing technical drawbacks, an embodiment of the present invention provides an active noise reduction method and system based on ambient sound cancellation.
In order to achieve the above object, in a first aspect, an embodiment of the present invention provides an active noise reduction method based on ambient sound cancellation, including:
picking up voice signals M1 and R1 by the main microphone array;
picking up the ambient sound signals M2 and R2 by the microphone array; wherein the distance between the main microphone array and the human voice is defined as d1, the distance between the auxiliary microphone array and the human voice is defined as d2, and d2 is more than 5 times of d 1;
and a human voice signal alpha is calculated and restored to be M1-M2 according to the voice signals M1 and R1 and the environment sound signals M2 and R2.
In a specific embodiment of the present invention, d1 is within 20cm and d2 is outside 100 cm.
In a second aspect, an embodiment of the present invention provides an active noise reduction system based on ambient sound cancellation, including:
a main microphone array for picking up voice signals M1 and R1;
an auxiliary microphone array for picking up the ambient sound signals M2 and R2; wherein the distance between the main microphone array and the human voice is defined as d1, the distance between the auxiliary microphone array and the human voice is defined as d2, and d2 is more than 5 times of d 1;
and the main control board is connected with the main microphone array and the auxiliary microphone array, is used for receiving the voice signals M1 and R1 and the environment sound signals M2 and R2, and calculates and restores a human sound signal alpha approximately equal to M1-M2 according to the voice signals M1 and R1 and the environment sound signals M2 and R2.
As a preferred embodiment of the present application, the main microphone array comprises a plurality of microphones arranged in a linear array; the auxiliary microphone array comprises a plurality of microphones which are arranged in a circular array.
According to the active noise reduction method and the system thereof, the auxiliary microphone array is used for picking up the environmental noise (M2 and R2), the main microphone array is used for picking up the human speech (M1 and R1), the distance d2 from the auxiliary microphone array to the human speech is more than 5 times of the distance d1 from the main microphone array to the human speech, so that R1 and R2 are approximately equal, the human speech signal alpha is approximately equal to M1-M2, clear sound pickup and active elimination of the environmental noise are achieved, application obstacles cannot be formed aiming at omnidirectional sound pickup, and some unnecessary human speech interference can be eliminated better.
Drawings
In order to more clearly illustrate the detailed description of the invention or the technical solutions in the prior art, the drawings that are needed in the detailed description of the invention or the prior art will be briefly described below.
FIG. 1 is a schematic diagram of an embodiment of the present invention;
FIG. 2 is a flowchart of an active noise reduction method based on ambient sound cancellation according to an embodiment of the present invention;
fig. 3 is a block diagram of an active noise reduction system based on ambient sound cancellation according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the principle of the present invention is:
in order to solve the problems described in the background art, the invention collects the environmental noise by adding a plurality of auxiliary microphones, simulates the real environmental background noise, and then forms a microphone array by a plurality of pickup main microphones to collect the corresponding voice. When speaking into the main microphone array in a noisy environment, as shown in fig. 1, multiple electrical signals are generated. One is the signal picked up by the main microphone array, defined as the speech signals MVoice1 and Rvoice 1; one is the signal picked up by the auxiliary microphone array, defined as the ambient sound signals MVoice2 and Rvoice 2. Because of the distance between the main microphone array and the auxiliary microphone array in the speaking process, the voice signal alpha required to be restored in the main microphone array is far larger than the voice signal alpha in the auxiliary array; the relative environmental noise does not have the problem, so that the environmental noise of the rvice 1 and the environmental noise of the rvice 2 are approximately equal. We can operate by frequency domain operations of the speech signal:
and (MVoice1+ RVoice1) - (MVoice2+ RVoice2) are approximately equal to MVoice1-MVoice2, and an approximate value of the restored vocal sound is deduced, so that clear pickup and active elimination of environmental sound are realized.
Referring to fig. 2 again, the active noise reduction method based on ambient sound cancellation according to the embodiment of the present invention mainly includes:
s1, voice signals M1 and R1 are picked up by the main microphone array.
Specifically, in the present embodiment, the main microphone array includes a plurality of microphones arranged in a linear array, and the main microphone array is close to the speaker.
S2, the ambient sound signals M2 and R2 are picked up by the microphone array.
Specifically, in the present embodiment, the auxiliary microphone array includes a plurality of microphones arranged in a circular array. Wherein the distance between the main microphone array and the human voice is defined as d1, the distance between the auxiliary microphone array and the human voice is defined as d2, and d2 is more than 5 times of d 1; for example, the distance between the main microphone array and the human voice is kept within 20cm, and the distance between the auxiliary microphone array and the human voice is kept above 100 cm.
S3, calculating and restoring a human voice signal alpha ≈ M1-M2 according to the voice signals M1 and R1 and the environment sound signals M2 and R2.
Specifically, the main microphone array and the auxiliary microphone array transmit the picked sound signals to the main control board, and the sound signals are converted into digital signals through the ADC. Further, combining the aforementioned principle, the master control board calculates and restores the human voice signal α ≈ M1-M2.
According to the active noise reduction method, the auxiliary microphone array is used for picking up the environmental noise (M2 and R2), the main microphone array is used for picking up the human speech (M1 and R1), the distance d2 between the auxiliary microphone array and the human speech is more than 5 times of the distance d1 between the main microphone array and the human speech, so that R1 and R2 are approximately equal, the human speech signal alpha is approximately equal to M1-M2, clear sound pickup and active elimination of the environmental noise are achieved, application obstacles cannot be formed aiming at a sound pickup omnidirectional scene, and unnecessary human speech interference can be eliminated well.
Based on the same inventive concept, the embodiment of the present invention provides an active noise reduction system based on ambient sound cancellation, including:
a main microphone array 100 for picking up voice signals M1 and R1;
a microphone array 200 for picking up the ambient sound signals M2 and R2; wherein the distance between the main microphone array and the human voice is defined as d1, the distance between the auxiliary microphone array and the human voice is defined as d2, and d2 is more than 5 times of d 1;
and the main control board 300 is connected with the main microphone array and the auxiliary microphone array, and is used for receiving the voice signals M1 and R1 and the environment sound signals M2 and R2, and calculating and restoring a human sound signal alpha approximately equal to M1-M2 according to the voice signals M1 and R1 and the environment sound signals M2 and R2.
Wherein the main microphone array comprises a plurality of microphones arranged in a linear array; the auxiliary microphone array comprises a plurality of microphones which are arranged in a circular array.
Further, d1 is within 20cm, and d2 is outside 100 cm.
In the embodiment of the invention, the main microphone array is close to a speaker (within 20 cm), voice signals M1 and R1 are picked up, the auxiliary microphone array keeps a certain distance (more than 100 cm) from the speaker, environmental sound signals M2 and R2 are picked up, the main control panel acquires the voice signals transmitted by the main microphone array and the auxiliary microphone array, and voice reduction is carried out to obtain voice signals alpha which are approximately equal to M1-M2. Through the active noise reduction system, clear pickup and active elimination of environmental sounds are achieved, application obstacles cannot be formed aiming at an omnidirectional pickup scene, and unnecessary human voice interference can be eliminated well.
While the invention has been described with reference to specific embodiments, the invention is not limited thereto, and various equivalent modifications and substitutions can be easily made by those skilled in the art within the technical scope of the invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (6)
1. An active noise reduction method based on ambient sound cancellation is characterized by comprising the following steps:
picking up voice signals M1 and R1 by the main microphone array;
picking up the ambient sound signals M2 and R2 by the microphone array; wherein the distance between the main microphone array and the human voice is defined as d1, the distance between the auxiliary microphone array and the human voice is defined as d2, and d2 is more than 5 times of d 1;
and a human voice signal alpha is calculated and restored to be M1-M2 according to the voice signals M1 and R1 and the environment sound signals M2 and R2.
2. The active noise reduction method of claim 1, wherein d1 is within 20cm and d2 is outside 100 cm.
3. An active noise reduction system based on ambient sound cancellation, comprising:
a main microphone array for picking up voice signals M1 and R1;
an auxiliary microphone array for picking up the ambient sound signals M2 and R2; wherein the distance between the main microphone array and the human voice is defined as d1, the distance between the auxiliary microphone array and the human voice is defined as d2, and d2 is more than 5 times of d 1;
and the main control board is connected with the main microphone array and the auxiliary microphone array, is used for receiving the voice signals M1 and R1 and the environment sound signals M2 and R2, and calculates and restores a human sound signal alpha approximately equal to M1-M2 according to the voice signals M1 and R1 and the environment sound signals M2 and R2.
4. The active noise reduction system of claim 3, wherein the primary microphone array comprises a plurality of microphones arranged in a linear array.
5. The active noise reduction system of claim 3, wherein the secondary microphone array comprises a plurality of microphones arranged in a circular array.
6. The active noise reduction system of claim 3, wherein d1 is within 20cm and d2 is outside of 100 cm.
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| CN107910015A (en) * | 2017-12-12 | 2018-04-13 | 上海与德科技有限公司 | A kind of terminal device noise-reduction method and terminal device |
| CN109788382A (en) * | 2019-01-25 | 2019-05-21 | 深圳大学 | A kind of distribution microphone array pickup system and method |
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2021
- 2021-05-14 CN CN202110527555.1A patent/CN113301461A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120106753A1 (en) * | 2010-11-02 | 2012-05-03 | Robert Bosch Gmbh | Digital dual microphone module with intelligent cross fading |
| CN102497613A (en) * | 2011-11-30 | 2012-06-13 | 江苏奇异点网络有限公司 | Dual-channel real-time voice output method for amplifying classroom voices |
| CN106448697A (en) * | 2016-09-28 | 2017-02-22 | 惠州Tcl移动通信有限公司 | Double-microphone noise elimination implementation method and system and smart glasses |
| CN107371079A (en) * | 2017-04-17 | 2017-11-21 | 恒玄科技（上海）有限公司 | The diamylose gram noise reduction system and noise-reduction method of a kind of earphone |
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