CN107481730B - Noise reduction method and system for automobile pickup system - Google Patents

Noise reduction method and system for automobile pickup system Download PDF

Info

Publication number
CN107481730B
CN107481730B CN201610900437.XA CN201610900437A CN107481730B CN 107481730 B CN107481730 B CN 107481730B CN 201610900437 A CN201610900437 A CN 201610900437A CN 107481730 B CN107481730 B CN 107481730B
Authority
CN
China
Prior art keywords
audio signal
frequency spectrum
sound pick
picked
signal picked
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related
Application number
CN201610900437.XA
Other languages
Chinese (zh)
Other versions
CN107481730A (en
Inventor
刘关
董文亮
魏林和
涂华刚
牛尚卿
韦性林
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Borgward Automotive China Co Ltd
Original Assignee
Borgward Automotive China Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Borgward Automotive China Co Ltd filed Critical Borgward Automotive China Co Ltd
Priority to CN201610900437.XA priority Critical patent/CN107481730B/en
Publication of CN107481730A publication Critical patent/CN107481730A/en
Application granted granted Critical
Publication of CN107481730B publication Critical patent/CN107481730B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L21/00Processing of the speech or voice signal to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
    • G10L21/02Speech enhancement, e.g. noise reduction or echo cancellation
    • G10L21/0208Noise filtering
    • G10L21/0216Noise filtering characterised by the method used for estimating noise
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L21/00Processing of the speech or voice signal to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
    • G10L21/02Speech enhancement, e.g. noise reduction or echo cancellation
    • G10L21/0208Noise filtering
    • G10L21/0216Noise filtering characterised by the method used for estimating noise
    • G10L21/0232Processing in the frequency domain
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L21/00Processing of the speech or voice signal to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
    • G10L21/02Speech enhancement, e.g. noise reduction or echo cancellation
    • G10L21/0208Noise filtering
    • G10L21/0216Noise filtering characterised by the method used for estimating noise
    • G10L2021/02161Number of inputs available containing the signal or the noise to be suppressed
    • G10L2021/02165Two microphones, one receiving mainly the noise signal and the other one mainly the speech signal

Landscapes

  • Engineering & Computer Science (AREA)
  • Computational Linguistics (AREA)
  • Quality & Reliability (AREA)
  • Signal Processing (AREA)
  • Health & Medical Sciences (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Human Computer Interaction (AREA)
  • Physics & Mathematics (AREA)
  • Acoustics & Sound (AREA)
  • Multimedia (AREA)
  • Fittings On The Vehicle Exterior For Carrying Loads, And Devices For Holding Or Mounting Articles (AREA)

Abstract

The invention provides a noise reduction method and a system for an automobile pickup system, wherein the automobile pickup system comprises a main pickup for picking up man-machine interaction voice and an auxiliary pickup for picking up noise, and the method comprises the following steps: reading audio signals picked up by the main sound pick-up and the auxiliary sound pick-up; filtering a background noise spectrum included in a spectrum of an audio signal picked up by the secondary microphone to update the spectrum of the audio signal picked up by the secondary microphone; judging whether the audio intensity difference between the audio signal picked up by the main sound pick-up and the audio signal picked up by the auxiliary sound pick-up 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 sound pick-up from the frequency spectrum of the audio signal picked up by the main sound pick-up, and further carrying out band-pass filtering of a preset frequency band so as to update the frequency spectrum of the audio signal picked up by the main sound pick-up. The method can reduce the noise of the real-time voice noise and the inherent noise of the automobile, and improves the noise reduction effect of the automobile pickup system.

Description

Noise reduction method and system for automobile pickup system
Technical Field
The invention relates to the technical field of vehicles, in particular to a noise reduction method and a noise reduction system for an automobile pickup system.
Background
The development of the internet of vehicles makes human-computer interaction more important, and voice interaction is the most basic human-computer interaction in the internet of vehicles and is also the most important and humanized interaction method. The most important technology in voice interaction is how to clearly and accurately pick up human voice and then output the voice to the internet of vehicles for processing. Because of the characteristics of the automobile, certain noise always exists in the environment inside the automobile, and therefore, how to perform noise reduction processing on the sound pickup system of the automobile is one of important technologies for realizing good man-machine interaction of the automobile.
The existing common automobile noise reduction method is a double-microphone noise reduction method, namely one microphone is used for collecting environmental noise, the other microphone is used for carrying out voice pickup, and the frequency band of the environmental noise is filtered in the later processing, so that the noise reduction is realized. The method is feasible to be used on the mobile phone, because the microphone for collecting the environmental noise is arranged on the back surface of the mobile phone, the main microphone for picking up the voice is arranged on the front surface of the mobile phone, and the two microphones are separated to a certain degree, the noise reduction effect is good. However, in a space where a voice interaction is developed in an automobile, noise reduction is performed only by the method, and a good noise reduction effect cannot be achieved, because the automobile also generates some inherent noise, and the noise changes along with the use condition of the automobile. On the premise, the simple double-microphone noise reduction cannot reduce the noise which is inherent in the vehicle and is changed at the same time.
Disclosure of Invention
The present invention is directed to solving at least one of the above problems.
Therefore, an object of the present invention is to provide a noise reduction method for a car sound pickup system, which can reduce noise of real-time speech noise and inherent noise of a car, and improve the noise reduction effect of the car sound pickup system.
Another object of the present invention is to provide a noise reduction system for a car sound pickup system.
In order to achieve the above object, an embodiment of a first aspect of the present invention discloses a noise reduction method for a car sound pickup system, where the car sound pickup system includes a main sound pickup for picking up human-computer interaction voice and a sub sound pickup for picking up noise, and the method includes the following steps: s1: reading audio signals picked up by the main sound pick-up and the auxiliary sound pick-up; s2: filtering a background noise spectrum included in a spectrum of an audio signal picked up by the secondary microphone to update the spectrum of the audio signal picked up by the secondary microphone; s3: determining the audio intensity difference between the audio signal picked up by the main sound pick-up and the audio signal picked up by the auxiliary sound pick-up, and judging whether the audio intensity difference is larger than or equal to a preset value; and S4: if the frequency spectrum of the audio signal picked up by the auxiliary sound pick-up is updated, the updated frequency spectrum of the audio signal picked up by the auxiliary sound pick-up is filtered from the frequency spectrum of the audio signal picked up by the main sound pick-up, the band-pass filtering of a preset frequency band is carried out on the audio signal picked up by the main sound pick-up after the frequency spectrum is filtered, the frequency spectrum of the audio signal picked up by the main sound pick-up is updated, and the audio signal picked up by the main sound pick-up after the frequency spectrum is updated is output.
According to the noise reduction method of the automobile pickup system, disclosed by the embodiment of the invention, in the man-machine interaction process of the automobile, the noise of real-time voice noise is reduced, and meanwhile, the noise of the inherent noise of the change of the automobile is reduced, so that the noise reduction effect of the pickup system of the automobile is improved, and the accuracy of the man-machine interaction is further improved.
In addition, the noise reduction method of the car sound pickup system according to the above embodiment of the present invention may further have the following additional technical features:
in some examples, further comprising: when the main sound pickup is not turned on, caching the frequency spectrum of the audio signal picked up by the auxiliary sound pickup within a preset time; judging whether the frequency spectrum of the audio signal picked up by the auxiliary sound pick-up in a preset time is kept unchanged; and if so, taking the frequency spectrum of the audio signal picked up by the auxiliary sound pick-up within a preset time as the background noise frequency spectrum of the auxiliary sound pick-up, and storing the background noise frequency spectrum.
In some examples, after the S3, further comprising: and if the audio intensity difference is smaller than the preset value, directly performing band-pass filtering of a preset frequency band on the audio signal picked up by the main sound pick-up so as to update the frequency spectrum of the audio signal picked up by the main sound pick-up and output the audio signal picked up by the main sound pick-up after the frequency spectrum is updated.
In some examples, the predetermined frequency range is 300Hz to 3400 Hz.
In some examples, the secondary microphone is one or more.
In order to achieve the above object, an embodiment of a second aspect of the present invention discloses a noise reduction system for a car sound pickup system, the car sound pickup system including a main sound pickup for picking up a human-computer interaction voice and a sub sound pickup for picking up noise, the noise reduction system including: the reading module is used for reading audio signals picked up by the main sound pickup and the auxiliary sound pickup; the comparison module is used for determining the audio intensity difference between the audio signal picked up by the main sound pick-up and the audio signal picked up by the auxiliary sound pick-up and judging whether the audio intensity difference is larger than or equal to a preset value; processing module, processing module is used for the filtering the background noise frequency spectrum that contains in the frequency spectrum of the audio signal that vice adapter picked up, in order to update the frequency spectrum of the audio signal that vice adapter picked up, and when the audio frequency intensity difference is greater than or equal to the default, follow the filtering after the update in the frequency spectrum of the audio signal that main adapter picked up the frequency spectrum of the audio signal that vice adapter picked up to carry out the band-pass filtering of preset frequency range to the audio signal that main adapter picked up behind the filtering frequency spectrum, in order to update the frequency spectrum of the audio signal that main adapter picked up, and the audio signal that main adapter picked up after the output frequency spectrum updates picked up.
According to the noise reduction system of the automobile pickup system, disclosed by the embodiment of the invention, in the man-machine interaction process of an automobile, the real-time voice noise is reduced, and meanwhile, the inherent noise of the change of the automobile is reduced, so that the noise reduction effect of the pickup system of the automobile is improved, and the accuracy of the man-machine interaction is further improved.
In addition, the noise reduction system of the car sound pickup system according to the above embodiment of the present invention may further have the following additional technical features:
in some examples, the processing module is further to: when the main sound pick-up is not started, the frequency spectrum of the audio signal picked up by the auxiliary sound pick-up within the preset time is cached, whether the frequency spectrum of the audio signal picked up by the auxiliary sound pick-up within the preset time is kept unchanged or not is judged, and when the frequency spectrum of the audio signal picked up by the auxiliary sound pick-up within the preset time is kept unchanged, the frequency spectrum of the audio signal picked up by the auxiliary sound pick-up within the preset time is used as the background noise frequency spectrum of the auxiliary sound pick-up, and the background noise frequency spectrum is stored.
In some examples, the processing module is further configured to, when the audio intensity difference is smaller than the preset value, directly perform bandpass filtering in a preset frequency band on the audio signal picked up by the main microphone, so as to update a frequency spectrum of the audio signal picked up by the main microphone, and output the audio signal picked up by the main microphone after the frequency spectrum is updated.
In some examples, the predetermined frequency range is 300Hz to 3400 Hz.
In some examples, the secondary microphone is one or more.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a flowchart of a noise reduction method of a car sound pickup system according to an embodiment of the present invention;
FIG. 2 is a schematic view of the placement of a sound pick-up within a vehicle according to one embodiment of the present invention;
fig. 3 is a circuit connection diagram of a sound pickup according to an embodiment of the present invention;
fig. 4 is a detailed flowchart of a noise reduction method of a car sound pickup system according to an embodiment of the present invention; and
fig. 5 is a block diagram showing the structure of a noise reduction system of a car sound pickup system according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
In the description of the present invention, it is to be understood that the terms "center", "longitudinal", "lateral", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on those shown in the drawings, and are used only for convenience in describing the present invention and for simplicity in description, and do not indicate or imply that the referenced devices or elements must have a particular orientation, be constructed and operated in a particular orientation, and thus, are not to be construed as limiting the present invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
The following describes a noise reduction method and system for a car sound pickup system according to an embodiment of the present invention with reference to the accompanying drawings.
Fig. 1 is a flowchart of a noise reduction method of a car sound pickup system according to an embodiment of the present invention. The car sound pickup system includes, for example, a main sound pickup and a sub sound pickup. The main sound pick-up is arranged in a main driving position area and used for picking up man-machine interaction voice; the secondary microphone is, for example, provided at another position of the cab (e.g., a passenger compartment and/or a rear passenger compartment) for picking up noise. Based on this, as shown in fig. 1, the method comprises the following steps:
step S1: and reading the audio signals picked up by the main sound pick-up and the auxiliary sound pick-up. Specifically, the secondary microphone is automatically turned on and collects noise when the vehicle is in operation, while the primary microphone is turned on when human-computer voice interaction is required, for example, by a user manually turning it on and off. That is to say, after the main sound pick-up is opened, man-machine interaction voice can be collected, and the auxiliary sound pick-up can collect audio signals all the time after the vehicle runs.
Step S2: the spectrum of background noise contained in the spectrum of the audio signal picked up by the sub-microphone is filtered out to update the spectrum of the audio signal picked up by the sub-microphone.
Step S3: and determining the audio intensity difference between the audio signal picked up by the main sound pick-up and the audio signal picked up by the auxiliary sound pick-up, and judging whether the audio intensity difference is larger than or equal to a preset value.
Step S4: if the frequency spectrum of the audio signal picked up by the auxiliary sound pick-up is updated, the updated frequency spectrum of the audio signal picked up by the auxiliary sound pick-up is filtered from the frequency spectrum of the audio signal picked up by the main sound pick-up, band-pass filtering of a preset frequency band is carried out on the audio signal picked up by the main sound pick-up after the frequency spectrum is filtered, the frequency spectrum of the audio signal picked up by the main sound pick-up is updated, and the audio signal picked up by the main sound pick-up after the frequency spectrum is updated is. Wherein the preset frequency range is 300Hz-3400Hz, for example.
That is to say, when the main sound pick-up is turned on, the background noise collected by the auxiliary sound pick-up is not monitored in a specific time interval, but is compared with the intensity of the audio signal collected by the main sound pick-up in real time, and if the intensity of the audio signal collected by the main sound pick-up is higher than the preset value of the intensity of the audio signal collected by the auxiliary sound pick-up for the audio signal with the same frequency, the audio signal collected by the auxiliary sound pick-up is filtered from the frequency spectrum of the audio signal collected by the main sound pick-up, so that a new audio signal for man-machine interaction is formed. Further, the audio signals with the background noise filtered out are filtered out with the frequency below 300Hz and the frequency above 3400Hz, so that new audio signals for man-machine interaction are formed.
In an embodiment of the present invention, after S3, the method further includes: and if the audio intensity difference is smaller than a preset value, directly performing band-pass filtering of a preset frequency band on the audio signal picked up by the main sound pick-up so as to update the frequency spectrum of the audio signal picked up by the main sound pick-up and output the audio signal picked up by the main sound pick-up after the frequency spectrum is updated. For example, the audio signals with background noise filtered out are filtered out with frequencies below 300Hz and with frequencies above 3400Hz, so as to form new audio signals for man-machine interaction.
In one embodiment of the invention, the method further comprises: when the main sound pickup is not started, the frequency spectrum of the audio signal picked up by the auxiliary sound pickup within a preset time is cached; further judging whether the frequency spectrum of the audio signal picked up by the auxiliary sound pick-up in the preset time is kept unchanged; if so, the frequency spectrum of the audio signal picked up by the sub-pickup within the preset time is taken as the background noise frequency spectrum of the sub-pickup, and the background noise frequency spectrum is stored. That is, the sub-microphone always picks up surrounding audio signals when the main microphone is not turned on, and the audio processor analyzes the frequency spectrum of each of the picked-up audio signals for a predetermined period (predetermined time), and if the frequency spectrum of the picked-up audio signals is the same for the predetermined period, the frequency spectrum is stored as the background noise spectrum of the microphone. And the background noise frequency spectrum collected by the stored auxiliary sound pick-up is not invariable but is continuously updated, and the background noise of the area is considered to be required to be updated and replaced as long as the background noise frequency spectrum collected by the new monitoring of the amplitude sound pick-up is invariable in a specific time period (preset time).
In one embodiment of the invention, the number of the auxiliary sound pick-up devices of the automobile sound pick-up system is one or more. More specifically, the main sound pickup and the sub sound pickup are, for example, microphones.
In order to facilitate understanding of the noise reduction method of the car sound pick-up system according to the above embodiments of the present invention, the method will be described in detail by using specific embodiments with reference to the accompanying drawings.
In the present embodiment, for example, the cab of the automobile is divided into four regions, as shown in fig. 2, which are: the area A is a main driving position area, the area B is a secondary driving position area, and the areas C and D are rear passenger areas. A sound pick-up device, namely a microphone, is arranged in each area, the sound pick-up devices in the areas B, C and D are always turned on as long as a vehicle runs, and the sound pick-up device in the area A is turned on only when human-computer voice interaction is required. Specifically, as shown in fig. 1, the a area is provided with a microphone 11 (i.e., a main microphone), the B area is provided with a microphone 21 (i.e., a sub-microphone), the C area is provided with a microphone 22 (i.e., a sub-microphone), and the F area is provided with a microphone 23 (i.e., a sub-microphone). That is, in the embodiment, the car sound pickup system includes three sub-pickups, respectively, the pickup 21, the pickup 22, and the pickup 23. These sound pick-up devices are connected to the audio processor for noise reduction processing, and then converted into digital signals for output, for example, as shown in fig. 3.
Based on this, in this embodiment, as shown in fig. 4, the noise reduction method of the car sound pickup system includes the following steps:
step 100: initially, the audio processor is initialized.
Step 101: the audio processor monitors whether the sound pickup 11 is turned on, if so, step 102 is executed, otherwise, step 201 is returned to.
Step 102: the sound pickup devices pick up audio, wherein the sound picked up by the sound pickup device 11 is S11(f11, v11), the sound picked up by the sound pickup device 21 is S21(f21, v21), the sound picked up by the sound pickup device 22 is S22(f22, v22), and the sound picked up by the sound pickup device 23 is S23(f23, v 23).
Step 103: the stored background noise S21noise is filtered out of the frequency spectrum f21 of the audio S21 to form S21 a new frequency spectrum, which is assigned to f 21.
Step 104: the stored background noise S22noise is filtered out of the frequency spectrum f22 of the audio S22, forming S22 a new frequency spectrum and assigning it to f 22.
Step 105: the stored background noise S23noise is filtered out of the frequency spectrum f23 of the audio S23, forming S23 a new frequency spectrum and assigning it to f 23.
Step 106: the audio processor calculates the intensity difference of the picked-up audio of each sound pick-up device: Δ V21-V11-V21, Δ V22-V11-V22, and Δ V23-V11-V23.
Step 107: is Δ V21 ≧ V? If yes, go to step 108, otherwise return to step 109, where V is a preset value.
Step 108: the audio processor filters f21 from the spectrum f11 of audio S11 to form S11 a new spectrum and assigns it to f 11.
Step 109: is Δ V22 ≧ V? If yes, go to step 110, otherwise return to step 111.
Step 110: the audio processor filters f22 from the spectrum f11 of audio S11 to form S11 a new spectrum and assigns it to f 11.
Step 111: audio processor determines ≧ V23 ≧ V? If yes, go to step 112, otherwise return to step 113.
Step S112: the audio processor filters f23 from the spectrum f11 of audio S11 to form S11 a new spectrum and assigns it to f 11.
Step 113: the audio processor performs 300Hz-3400Hz (preset frequency band) band-pass filtering on the audio S11, namely: signals below 300Hz are filtered out, while signals above 3400Hz are filtered out, forming a new spectrum S11, which is assigned to f 11.
Step 114: the audio processor performs analog-to-digital conversion on the speech audio S11 after the final noise reduction processing, and outputs noise-reduced audio data information.
In other words, when the microphone of the a area is turned on, the audio processor does not perform monitoring processing within a specific time period on the background noise collected by the microphone of the B area, the microphone of the C area, and the microphone of the D area, but performs intensity comparison with the audio signal collected by the microphone of the a area in real time, and if the intensity of the audio signal collected by the microphone of the a area is higher than that of the audio signal collected by the microphone of the B area, or the microphone of the C area, or the microphone of the D area by a certain value V for the audio signal of the same frequency, the audio processor filters the audio signal collected by the microphone of the B area, or the microphone of the C area, or the microphone of the D area from the spectrum of the audio signal collected by the microphone of the a area, thereby forming a new audio. Further, the audio processor also needs to filter out signals with frequencies below 300Hz and signals with frequencies above 3400Hz from the audio signals with the background noise already filtered out, thereby forming new audio signals for man-machine interaction.
The effective noise reduction of the automobile pickup system is completed. Wherein steps 201 to 203 are as follows:
step 201: the sound pickup 21, the sound pickup 22 and the sound pickup 23 respectively continuously pick up audio, and simultaneously, the audio processor respectively buffers audio frequency spectrums f21, f22 and f23 thereof in a specific time period t (preset time);
step 202: the audio processor monitors the audio frequency spectrums f21, f22 and f23 in the t time period respectively, so as to judge whether the frequency spectrums f21, f22 and f23 are kept unchanged in the t time period, if so, the step 203 is returned, otherwise, the step 101 is returned.
Step 203: the audio processor stores the audio frequency spectrums of S21, S22, S23 in the t period as background noise spectrums f21noise, f22noise, f23noise of the sound pickups 21, 22, 23, respectively; and returns to step 101.
In other words, the sound collectors in the B zone, the C zone, and the D zone always pick up surrounding audio when the sound collector in the a zone is not turned on, and the audio processor analyzes the respective frequency spectrums within a specific time period, and stores the frequency spectrums as the background noise frequency spectrums of the sound collector if the frequency spectrums of the picked-up audio within the specific time period are the same. And the stored background noise frequency spectrums collected by the zone B, the zone C and the zone D sound pick-up are not constant but continuously updated, and the background noise of the zone is considered to be updated and replaced as long as the background noise frequency spectrums newly monitored and collected by the zone B, the zone C and the zone D sound pick-up are constant in a specific time period.
In conclusion, according to the noise reduction method of the automobile sound pickup system, in the automobile human-computer interaction process, the real-time voice noise is reduced, and meanwhile, the inherent noise of the automobile change is reduced, so that the noise reduction effect of the automobile sound pickup system is improved, and the accuracy of the human-computer interaction is improved.
A further embodiment of the present invention provides a noise reduction system for a vehicle sound pickup system.
Fig. 5 is a block diagram illustrating a noise reduction system of a car sound pickup system according to an embodiment of the present invention. The car sound pickup system includes, for example, a main sound pickup and a sub sound pickup. The main sound pick-up is arranged in a main driving position area and used for picking up man-machine interaction voice; the secondary microphone is, for example, provided at another position of the cab (e.g., a passenger compartment and/or a rear passenger compartment) for picking up noise. Based on this, as shown in fig. 5, the noise reduction system 100 includes: a reading module 110, a comparing module 120 and a processing module 130.
The reading module 110 is used for reading audio signals picked up by the main sound pickup and the auxiliary sound pickup. Specifically, the secondary microphone is automatically turned on and collects noise when the vehicle is in operation, while the primary microphone is turned on when human-computer voice interaction is required, for example, by a user manually turning it on and off. That is to say, after the main sound pick-up is opened, man-machine interaction voice can be collected, and the auxiliary sound pick-up can collect audio signals all the time after the vehicle runs.
In one embodiment of the invention, the secondary microphone is one or more.
The comparing module 120 is configured to determine an audio intensity difference between an audio signal picked up by the main sound pickup and an audio signal picked up by the sub sound pickup, and determine whether the audio intensity difference is greater than or equal to a preset value.
The processing module 130 is configured to filter a background noise spectrum included in a spectrum of an audio signal picked up by the secondary microphone, to update the spectrum of the audio signal picked up by the secondary microphone, and when the audio intensity difference is greater than or equal to a preset value, filter the spectrum of the audio signal picked up by the secondary microphone from the spectrum of the audio signal picked up by the primary microphone after the update, and perform band-pass filtering of a preset frequency band on the audio signal picked up by the primary microphone after the spectrum is filtered, to update the spectrum of the audio signal picked up by the primary microphone, and output the audio signal picked up by the primary microphone after the spectrum update. Wherein the preset frequency range is 300Hz-3400Hz, for example.
That is to say, when the main sound pick-up is turned on, the background noise collected by the auxiliary sound pick-up is not monitored in a specific time interval, but is compared with the intensity of the audio signal collected by the main sound pick-up in real time, and if the intensity of the audio signal collected by the main sound pick-up is higher than the preset value of the intensity of the audio signal collected by the auxiliary sound pick-up for the audio signal with the same frequency, the audio signal collected by the auxiliary sound pick-up is filtered from the frequency spectrum of the audio signal collected by the main sound pick-up, so that a new audio signal for man-machine interaction is formed. Further, the audio signals with the background noise filtered out are filtered out with the frequency below 300Hz and the frequency above 3400Hz, so that new audio signals for man-machine interaction are formed.
In an embodiment of the present invention, the processing module 130 is further configured to, when the audio intensity difference is smaller than a preset value, directly perform bandpass filtering in a preset frequency band on the audio signal picked up by the main microphone, so as to update a frequency spectrum of the audio signal picked up by the main microphone, and output the audio signal picked up by the main microphone after the frequency spectrum is updated. For example, the audio signals with background noise filtered out are filtered out with frequencies below 300Hz and with frequencies above 3400Hz, so as to form new audio signals for man-machine interaction.
In one embodiment of the present invention, the processing module 130 is further configured to: when the main sound pick-up is not started, the frequency spectrum of the audio signal picked up by the auxiliary sound pick-up within the preset time is cached, whether the frequency spectrum of the audio signal picked up by the auxiliary sound pick-up within the preset time is kept unchanged or not is judged, and when the frequency spectrum of the audio signal picked up by the auxiliary sound pick-up within the preset time is kept unchanged, the frequency spectrum of the audio signal picked up by the auxiliary sound pick-up within the preset time is used as the background noise frequency spectrum of the auxiliary sound pick-up, and the background noise frequency spectrum is stored. That is, the sub-microphone always picks up surrounding audio signals when the main microphone is not turned on, and the audio processor analyzes the frequency spectrum of each of the picked-up audio signals for a predetermined period (predetermined time), and if the frequency spectrum of the picked-up audio signals is the same for the predetermined period, the frequency spectrum is stored as the background noise spectrum of the microphone. And the background noise frequency spectrum collected by the stored auxiliary sound pick-up is not invariable but is continuously updated, and the background noise of the area is considered to be required to be updated and replaced as long as the background noise frequency spectrum collected by the new monitoring of the amplitude sound pick-up is invariable in a specific time period (preset time).
It should be noted that a specific implementation manner of the noise reduction system of the car sound pickup system according to the embodiment of the present invention is similar to a specific implementation manner of the noise reduction method of the car sound pickup system according to the embodiment of the present invention, and please refer to the description of the method section specifically, and details are not described here again in order to reduce redundancy.
According to the noise reduction system of the automobile pickup system, disclosed by the embodiment of the invention, in the man-machine interaction process of an automobile, the real-time voice noise is reduced, and meanwhile, the inherent noise of the change of the automobile is reduced, so that the noise reduction effect of the pickup system of the automobile is improved, and the accuracy of the man-machine interaction is further improved.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the invention have been shown and described, it will be understood by those of ordinary skill in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.

Claims (10)

1. A method of reducing noise in a car microphone system comprising a primary microphone for picking up human-computer interaction speech and a secondary microphone for picking up noise, the method comprising the steps of:
s1: reading audio signals picked up by the main sound pick-up and the auxiliary sound pick-up;
s2: filtering a background noise spectrum included in a spectrum of an audio signal picked up by the secondary microphone to update the spectrum of the audio signal picked up by the secondary microphone;
s3: determining the audio intensity difference between the audio signal picked up by the main sound pick-up and the audio signal picked up by the auxiliary sound pick-up, and judging whether the audio intensity difference is larger than or equal to a preset value; and
s4: if the frequency spectrum of the audio signal picked up by the auxiliary sound pick-up is updated, the updated frequency spectrum of the audio signal picked up by the auxiliary sound pick-up is filtered from the frequency spectrum of the audio signal picked up by the main sound pick-up, the band-pass filtering of a preset frequency band is carried out on the audio signal picked up by the main sound pick-up after the frequency spectrum is filtered, the frequency spectrum of the audio signal picked up by the main sound pick-up is updated, and the audio signal picked up by the main sound pick-up after the frequency spectrum is updated is output.
2. The noise reduction method for the car sound pickup system according to claim 1, further comprising:
when the main sound pickup is not turned on, caching the frequency spectrum of the audio signal picked up by the auxiliary sound pickup within a preset time;
judging whether the frequency spectrum of the audio signal picked up by the auxiliary sound pick-up in a preset time is kept unchanged;
and if so, taking the frequency spectrum of the audio signal picked up by the auxiliary sound pick-up within a preset time as the background noise frequency spectrum of the auxiliary sound pick-up, and storing the background noise frequency spectrum.
3. The noise reduction method for the car sound pickup system according to claim 1, further comprising, after the step S3:
and if the audio intensity difference is smaller than the preset value, directly performing band-pass filtering of a preset frequency band on the audio signal picked up by the main sound pick-up so as to update the frequency spectrum of the audio signal picked up by the main sound pick-up and output the audio signal picked up by the main sound pick-up after the frequency spectrum is updated.
4. The noise reduction method for the automobile pickup system according to claim 1, wherein the preset frequency range is 300Hz to 3400 Hz.
5. The noise reduction method for the car sound pickup system according to any one of claims 1 to 4, wherein the number of the secondary sound pickup is one or more.
6. A noise reduction system for a car sound pickup system, the car sound pickup system including a main sound pickup for picking up human-computer interaction voice and a sub sound pickup for picking up noise, the noise reduction system comprising:
the reading module is used for reading audio signals picked up by the main sound pickup and the auxiliary sound pickup;
the comparison module is used for determining the audio intensity difference between the audio signal picked up by the main sound pick-up and the audio signal picked up by the auxiliary sound pick-up and judging whether the audio intensity difference is larger than or equal to a preset value;
processing module, processing module is used for the filtering the background noise frequency spectrum that contains in the frequency spectrum of the audio signal that vice adapter picked up, in order to update the frequency spectrum of the audio signal that vice adapter picked up, and when the audio frequency intensity difference is greater than or equal to the default, follow the filtering after the update in the frequency spectrum of the audio signal that main adapter picked up the frequency spectrum of the audio signal that vice adapter picked up to carry out the band-pass filtering of preset frequency range to the audio signal that main adapter picked up behind the filtering frequency spectrum, in order to update the frequency spectrum of the audio signal that main adapter picked up, and the audio signal that main adapter picked up after the output frequency spectrum updates picked up.
7. The noise reduction system of the car sound pickup system of claim 6, wherein the processing module is further configured to: when the main sound pick-up is not started, the frequency spectrum of the audio signal picked up by the auxiliary sound pick-up within the preset time is cached, whether the frequency spectrum of the audio signal picked up by the auxiliary sound pick-up within the preset time is kept unchanged or not is judged, and when the frequency spectrum of the audio signal picked up by the auxiliary sound pick-up within the preset time is kept unchanged, the frequency spectrum of the audio signal picked up by the auxiliary sound pick-up within the preset time is used as the background noise frequency spectrum of the auxiliary sound pick-up, and the background noise frequency spectrum is stored.
8. The noise reduction system of claim 6, wherein the processing module is further configured to, when the audio intensity difference is smaller than the preset value, directly perform band-pass filtering of a preset frequency band on the audio signal picked up by the main microphone, so as to update a frequency spectrum of the audio signal picked up by the main microphone, and output the audio signal picked up by the main microphone after the frequency spectrum is updated.
9. The noise reduction system of the car sound pick-up system of claim 6, wherein the preset frequency range is 300Hz to 3400 Hz.
10. The noise reduction system of the car sound pickup system according to any one of claims 6 to 9, wherein the number of the secondary sound pickup is one or more.
CN201610900437.XA 2016-10-14 2016-10-14 Noise reduction method and system for automobile pickup system Expired - Fee Related CN107481730B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610900437.XA CN107481730B (en) 2016-10-14 2016-10-14 Noise reduction method and system for automobile pickup system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610900437.XA CN107481730B (en) 2016-10-14 2016-10-14 Noise reduction method and system for automobile pickup system

Publications (2)

Publication Number Publication Date
CN107481730A CN107481730A (en) 2017-12-15
CN107481730B true CN107481730B (en) 2020-09-18

Family

ID=60593930

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610900437.XA Expired - Fee Related CN107481730B (en) 2016-10-14 2016-10-14 Noise reduction method and system for automobile pickup system

Country Status (1)

Country Link
CN (1) CN107481730B (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110070890B (en) * 2018-01-24 2021-05-14 宝沃汽车(中国)有限公司 Audio processing method and system and automobile
CN110875051B (en) * 2018-08-31 2022-09-09 比亚迪股份有限公司 Voice noise reduction device, voice noise reduction vehicle, voice noise reduction method, and storage medium

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002314637A (en) * 2001-04-09 2002-10-25 Denso Corp Device for reducing noise
JP2007011124A (en) * 2005-07-01 2007-01-18 Yamaha Corp Noise-removing device and program thereof
DE102013011761A1 (en) * 2013-07-13 2014-03-06 Daimler Ag Motor vehicle has estimating unit and background noise spectrum unit that are designed to open dynamic filter with low background noise and close with strong background noise
CN103928026A (en) * 2014-05-12 2014-07-16 安徽江淮汽车股份有限公司 Automobile voice command acquiring and processing system and method
CN105657150A (en) * 2015-09-29 2016-06-08 宇龙计算机通信科技(深圳)有限公司 Noise elimination method and device and electronic device
CN105931650A (en) * 2016-04-20 2016-09-07 深圳市航盛电子股份有限公司 Adaptive noise reduction method based on audio feature extraction

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2002314637A (en) * 2001-04-09 2002-10-25 Denso Corp Device for reducing noise
JP2007011124A (en) * 2005-07-01 2007-01-18 Yamaha Corp Noise-removing device and program thereof
DE102013011761A1 (en) * 2013-07-13 2014-03-06 Daimler Ag Motor vehicle has estimating unit and background noise spectrum unit that are designed to open dynamic filter with low background noise and close with strong background noise
CN103928026A (en) * 2014-05-12 2014-07-16 安徽江淮汽车股份有限公司 Automobile voice command acquiring and processing system and method
CN105657150A (en) * 2015-09-29 2016-06-08 宇龙计算机通信科技(深圳)有限公司 Noise elimination method and device and electronic device
CN105931650A (en) * 2016-04-20 2016-09-07 深圳市航盛电子股份有限公司 Adaptive noise reduction method based on audio feature extraction

Also Published As

Publication number Publication date
CN107481730A (en) 2017-12-15

Similar Documents

Publication Publication Date Title
CN102931936B (en) The control method of a kind of vehicle-mounted source of sound volume and system
US6754623B2 (en) Methods and apparatus for ambient noise removal in speech recognition
CN108538280B (en) Automobile active noise reduction system and method and mobile terminal
CN106205593A (en) Sound method of adjustment and relevant device in a kind of car
CN107481730B (en) Noise reduction method and system for automobile pickup system
JP3795070B2 (en) Mobile radio device with hands-free call device
CN106409280A (en) Active noise cancellation apparatus and method for improving voice recognition performance
US9478214B2 (en) Device and method for generating noise for a motor vehicle
CN104554273B (en) The system and method for information of road surface is recognized by noise
JP2002314637A (en) Device for reducing noise
CN113066468A (en) Active noise interference elimination optimization device and method based on in-vehicle environment
CN211296936U (en) Noise reduction system applied to vehicle
US20080288253A1 (en) Automatic speech recognition method and apparatus, using non-linear envelope detection of signal power spectra
CN106548771A (en) For the method that speech recognition system eliminates burst noise
US6847723B1 (en) Voice input apparatus
CN110536182A (en) A kind of in-vehicle wireless communications device with three proofings function
CN204750032U (en) Voice data collection system
CN200957785Y (en) Emergent commanding trolley
US20220189450A1 (en) Audio processing system and audio processing device
JP4697063B2 (en) Approaching vehicle detection device
CN111833840A (en) Noise reduction method and device, system, electronic equipment and storage medium
JP5383008B2 (en) Speech intelligibility improvement system and speech intelligibility improvement method
US20210224965A1 (en) Intelligent police car loudspeaker
CN112147780A (en) Vehicle-mounted head-up display device, control system, control method, and storage medium
CN110875051B (en) Voice noise reduction device, voice noise reduction vehicle, voice noise reduction method, and storage medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20200918

Termination date: 20211014

CF01 Termination of patent right due to non-payment of annual fee