CN107734416B - Laser face line identification noise reduction device, earphone and method - Google Patents
Laser face line identification noise reduction device, earphone and method Download PDFInfo
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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
- H04R1/00—Details of transducers, loudspeakers or microphones
- H04R1/10—Earpieces; Attachments therefor ; Earphones; Monophonic headphones
- H04R1/1058—Manufacture or assembly
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
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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
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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
- H04R2201/00—Details of transducers, loudspeakers or microphones covered by H04R1/00 but not provided for in any of its subgroups
- H04R2201/10—Details of earpieces, attachments therefor, earphones or monophonic headphones covered by H04R1/10 but not provided for in any of its subgroups
- H04R2201/105—Manufacture of mono- or stereophonic headphone components
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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
- H04R2410/00—Microphones
- H04R2410/01—Noise reduction using microphones having different directional characteristics
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
- Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection
Abstract
The invention discloses a laser facial line recognition noise reduction device, an earphone and a method, and relates to the technical field of audio equipment, wherein the laser facial line recognition noise reduction device comprises: the microphone is electrically connected with the infrared laser scanning module; the microphone is used for collecting sound information of an external environment, comprising voice information sent by a user and environment noise, and sending the sound information to the infrared laser scanning module; the infrared laser scanning module is used for synchronously acquiring facial images of the user and corresponding generated facial line codes, and comparing the facial line images with internally stored facial line code data so as to determine voice information sent by the user. The face change of the user is scanned to determine whether the current user sounds, and the voice information sent by the user is correspondingly extracted and separated from the voice information of the external environment, so that even under the complex external environment, the higher noise reduction depth can be achieved, and the normal conversation with higher reliability under the severe environment can be met.
Description
Technical Field
The invention relates to the technical field of audio equipment, in particular to a laser facial line recognition noise reduction device, an earphone and a method.
Background
In order to actively eliminate noise during the use of audio products, the technology of active noise elimination is invented, and the principle of the technology is as follows: all sounds consist of a certain frequency spectrum which can be completely cancelled out if a sound can be found which is exactly the same as the noise to be cancelled, but just in exactly opposite phase (180 deg. out of phase). The traditional active noise reduction earphone generally adopts noise reduction MIC (microphone) to sample the environmental noise, then generates sound waves with the same frequency spectrum as the environmental noise through an electronic technology, and the sound waves with the opposite phases (180 DEG difference) offset the environmental noise, and the traditional active noise reduction earphone can only reduce the noise by about 20dB to 30 dB.
In the process of implementing the present invention, the inventor finds that at least the following problems exist in the prior art: the traditional active noise reduction earphone has a poor effect in a high-intensity noise environment (such as a complex battlefield), and a user is disturbed by noise, so that the traditional active noise reduction earphone is very painful and uncomfortable and can not keep the mind awake well.
Disclosure of Invention
In order to overcome the defects of related products in the prior art, the invention provides a laser face line recognition noise reduction device, an earphone and a method, and solves the problem that the existing active noise reduction earphone is poor in noise reduction effect in a high-intensity noise environment.
The invention provides a laser surface texture recognition noise reduction device, which comprises: the microphone is electrically connected with the infrared laser scanning module; the microphone is used for collecting sound information of an external environment, comprising voice information sent by a user and environment noise, and sending the sound information to the infrared laser scanning module; the infrared laser scanning module is used for synchronously acquiring facial images of the user and corresponding generated facial line codes, and comparing the facial line images with internally stored facial line code data so as to determine voice information sent by the user;
the infrared laser scanning module comprises a CCD camera, an infrared laser emitter and a processing circuit module, wherein the infrared laser emitter is installed on the CCD camera in a combined mode, and the CCD camera is electrically connected with the processing circuit module; the infrared laser transmitter is used for outputting uniform light to irradiate on a human face, the CCD camera collects light reflected by the human face, and recognizes the internal characteristic change attribute of the human face according to the intensity change of the light so as to determine the corresponding facial pattern code, meanwhile, the infrared laser transmitter is compared with internally stored facial pattern code data to output a comparison result to the processing circuit module, and the processing circuit module is used for extracting and separating effective voice in the voice information according to the comparison result of the facial pattern code, wherein the effective voice is voice information sent by a user.
As a further improvement of the invention, the infrared laser emitter comprises an infrared laser LED lamp, a light filter, a light homogenizing film and a light diffusing lens, wherein the infrared laser LED lamp, the light filter, the light homogenizing film and the light diffusing lens are coaxially arranged, the light filter is used for filtering interference light, and the light homogenizing film and the light diffusing lens are respectively used for homogenizing and diffusing light and are matched with each other to uniformly irradiate the light on a human face; the infrared laser LED lamp is used as a light source to output infrared laser, and the infrared laser sequentially passes through the optical filter, the light homogenizing film and the light scattering mirror and then irradiates on a human face.
As a further improvement of the invention, the processing circuit module comprises a microprocessor, a voice recognition chip, a FLASH memory chip and a DSP chip, wherein the microprocessor, the FLASH memory chip and the DSP chip are electrically connected with the voice recognition chip; the voice recognition chip is used for extracting the characteristics of the voice information of the external environment acquired by the microphone according to the comparison result of the face line code, and simultaneously matching the voice information with the voice characteristic data stored in the FLASH memory chip for comparison to determine the corresponding voice; the microprocessor is used for completely counteracting or filtering sound wave spectrums with opposite phases generated by the environmental noise except the voice information sent by the user; the DSP chip is used for extracting and separating voice information sent by a user from the voice information of the external environment through digital signal processing.
As a further improvement of the present invention, the processing circuit module further includes an AMP chip electrically connected to the DSP chip, and the AMP chip amplifies the voice information extracted by the DSP chip.
The invention provides a laser facial line recognition noise reduction earphone which is applied to any one of the laser facial line recognition noise reduction devices, and comprises: the laser line recognition noise reduction device, the first bracket, the second bracket and the two earmuffs; the first support is of an arc-shaped structure, the two earmuffs are oppositely arranged and respectively fixed at the two lower ends of the first support, and the laser facial line recognition noise reduction device is fixedly arranged on one of the earmuffs through the second support.
As a further improvement of the invention, the CCD window, the infrared window and the microphone window are respectively arranged on the laser line recognition noise reduction device, and the CCD camera, the infrared laser emitter and the microphone are respectively correspondingly arranged in the CCD window, the infrared window and the microphone window, wherein the CCD window is used for the CCD camera to acquire images, the infrared window is used for the infrared laser emitter to output uniform light, and the microphone window is used for the microphone to acquire voice information sent by a user.
As a further improvement of the invention, the earmuff comprises a earphone shell, a loudspeaker, a plastic layer, a cotton yarn layer and a first sponge layer; inside that the sound outlet of earphone shell corresponds the position has set gradually from inside to outside loudspeaker, plastic layer, cotton yarn layer and first sponge layer.
As a further improvement of the invention, the plastic layer is double-layer plastic for sound insulation, and the edge of the plastic layer, which is close to the inner layer of the loudspeaker, is provided with air holes.
As a further improvement of the invention, the earmuff further comprises a second sponge layer, wherein the second sponge layer is leather sheath sound insulation sponge, and the second sponge layer is coated on the periphery of the sound outlet of the earphone shell.
The invention provides a laser facial line identification noise reduction method, which is applied to any one of the laser facial line identification noise reduction devices, and comprises the following steps: collecting sound information of an external environment, including voice information sent by a user and environmental noise; outputting uniform light to irradiate the human face, collecting the light reflected by the human face, identifying the internal characteristic change attribute of the human face according to the intensity change of the light so as to determine the corresponding facial texture code, and comparing the facial texture code with internally stored facial texture code data; and extracting and separating effective voice in the voice information according to the comparison result of the face code, wherein the effective voice is voice information sent by a user.
Compared with the prior art, the invention has the following advantages:
in the embodiment of the invention, the laser face line recognition noise reduction device, the earphone and the method determine whether the current user sounds or not by scanning the face change of the user, correspondingly extract and separate the voice information sent by the user from the voice information of the external environment, can still reach higher noise reduction depth even in a complex external environment, and can meet the normal call with higher reliability in a severe environment.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of a laser surface texture recognition noise reduction device according to the present invention;
fig. 2 is a schematic structural diagram of a laser face pattern recognition noise reduction earphone according to the present invention;
fig. 3 is a schematic flow chart of the laser surface texture recognition noise reduction method of the present invention.
Reference numerals illustrate: 1-a microphone; 2-an infrared laser scanning module; 21-CCD camera; 22-an infrared laser emitter; 221-infrared laser LED lamp; 222-an optical filter; 223-light homogenizing film; 224—a diffuser; 23-a processing circuit module; 231-a microprocessor; 232-FLASH memory chip; 233-a voice recognition chip; 234-DSP chip; 235-AMP chip; 100-laser surface texture recognition noise reduction device; 101-CCD window; 102-an infrared window; 103-a microphone window; 200-a first bracket; 300-a second scaffold; 400-earmuffs; 401-a earphone shell; 402-horn; 403-plastic layer; 404-cotton yarn layer; 405-a first sponge layer; 406-a second sponge layer.
Detailed Description
In order to enable those skilled in the art to better understand the present invention, the following description will make clear and complete descriptions of the technical solutions according to the embodiments of the present invention with reference to the accompanying drawings. It is apparent that the described embodiments are only some embodiments of the invention, but not all embodiments, and that the preferred embodiments of the invention are shown in the drawings. This invention may be embodied in many different forms and is not limited to the embodiments described herein, but rather is provided to provide a more thorough understanding of the present disclosure. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The terms "comprising" and "having" and any variations thereof in the description and claims of the invention and in the foregoing drawings are intended to cover non-exclusive inclusions.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the invention. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
Referring to fig. 1, the laser surface texture recognition noise reduction device 100 includes a microphone 1 and an infrared laser scanning module 2 electrically connected to each other; the microphone 1 is used for collecting sound information of an external environment, including voice information sent by a user and environmental noise, and sending the sound information to the infrared laser scanning module 2; the infrared laser scanning module 2 is used for synchronously acquiring facial images of users and corresponding generated facial code, and comparing the facial code data with internally stored facial code data so as to determine voice information sent by the users, wherein the facial code is a set for representing facial information characteristics of people.
The infrared laser scanning module 2 includes a CCD (Charge-coupled Device) camera 21, an infrared laser emitter 22 and a processing circuit module 23, wherein the infrared laser emitter 22 is assembled on the CCD camera 21, and the CCD camera 21 is electrically connected with the processing circuit module 23.
The infrared laser emitter 22 is configured to output uniform light to irradiate the face, and comprises an infrared laser LED lamp 221, a light filter 222, a light homogenizing film 223 and a light diffusing lens 224, wherein the infrared laser LED lamp 221, the light filter 222, the light homogenizing film 223 and the light diffusing lens 224 are coaxially arranged, the light filter 222 is configured to filter interference light, and the light homogenizing film 223 and the light diffusing lens 224 are respectively configured to homogenize and diffuse light and cooperate to uniformly irradiate the light to the face; the infrared laser LED lamp 221 is used as a light source to output infrared laser, the infrared laser sequentially passes through the optical filter 222, the dodging film 223 and the light dispersing mirror 224 and irradiates on a human face, the CCD camera 21 collects light reflected by the human face, and identifies the characteristic change attribute of the human face according to the intensity change of the light so as to determine the corresponding facial Texture code, and meanwhile, the comparison result is output to the processing circuit module 23 by comparing with the internally stored facial Texture code data, wherein the characteristic change attribute of the human face refers to the change of the attribute such as the reflection attribute (such as the reflection coefficient, the Texture, the 3D shape (the normal vector direction of the surface), the facial expression, the beard and the like of the human face; the human body biological characteristic recognition threshold is mainly used for vibration correlation biological analysis technologies of human body lips, jawbone, throat, facial muscle parts and the like at present, and can well recognize the recognition characteristics of human body sounds by analyzing fundamental frequencies and corresponding various harmonic waves and overtones, and the human body physiological characteristics have inherent unclonable uniqueness and stability of the human body, so that the human body can not be copied, stolen or forgotten. Therefore, the unique physiological characteristics of the human body can be utilized to accurately transmit the target sound, useless sound is filtered, the credibility and the robustness of conversation are improved to the maximum extent, and the CCD camera 21 determines the facial texture code through the characteristic change attribute in the human face.
Detecting corresponding human face vibration through the infrared laser scanning module 2 to determine whether the current user sounds or not, and determining voice information sent by the user according to the identified face line code and the comparison result; the detection of human face shake by the infrared laser scanning module 2 may include at least one of the following ways:
1. firstly, designing templates of one or a plurality of standard face muscle groups, then calculating the matching degree between a sample collected by testing and the standard templates, and judging whether pronunciation behaviors exist or not through a threshold value;
2. because the human face muscle group has certain structural distribution characteristics, corresponding rules are generated by extracting the characteristics so as to judge whether the test sample contains muscle variation after human body behaviors occur;
3. the method of artificial neural network in pattern recognition is adopted, namely, a classifier is generated through the study of a face image sample set and a non-face image sample set;
4. regarding all the muscle group face image sets as a face image subspace, and judging whether a face image of muscle group vibration exists or not based on the distance between the detection sample and the projection of the detection sample between the sub holes;
5. muscle group face tracking or skin color model tracking, and performing dynamic target tracking on the detected face based on a model method or a method based on combination of motion and a model;
6. the identity of the detected face image is confirmed or a target search is performed in the face image library, which means that the sampled face image is compared with the face image of the stock in turn, and the best matching object is found. At present, two description modes of feature vectors and face pattern templates are mainly adopted:
the feature vector is to determine the size, position, distance and other attributes of the facial image such as lips, throat, lip vein, jawbone muscle group, nose wings, mouth corners and the like, and then calculate the geometric feature quantity of the facial image, and the feature quantity forms a feature vector describing the facial image;
the face pattern template is to store several standard face muscle group face image templates or face image organ templates in the library, and to match the sampled face image pixels with the templates in the library via normalized correlation measurement during comparison.
In addition, there is a mode of combining the pattern recognition autocorrelation network or feature with the template, and the embodiments of the present invention are not described herein.
In the embodiment of the present invention, the internally stored facial line coding data may be pre-stored sample data, or may be data that is immediately acquired by the CCD camera 21, is post-processed and stored.
The processing circuit module 23 is configured to extract and separate valid voices in the sound information according to the comparison result of the face code, where the valid voices are voice information sent by a user; the processing circuit module 23 includes a microprocessor 231, a voice recognition chip 233, a FLASH memory chip 232, a DSP (digital signal processing) chip 234 and an AMP (power amplifier) chip 235, wherein the microprocessor 231 and the FLASH memory chip 232 are electrically connected to the voice recognition chip 233, and the DSP chip 234 is electrically connected to the voice recognition chip 233 and the AMP chip 235, respectively; the voice recognition chip 233 is configured to perform feature extraction on the sound information of the external environment collected by the microphone 1 according to the comparison result of the face code, and simultaneously match the voice feature data stored in the FLASH memory chip 232 to perform comparison to determine the corresponding voice; the microprocessor 231 is configured to completely cancel or filter out sound spectrum with opposite phase (180 ° out of phase) generated by sound spectrum which is irrelevant and inconsistent to the user (i.e. environmental noise except for voice information sent by the user); the DSP chip 234 is configured to extract and separate voice information sent by a user from voice information of the external environment through digital signal processing; the AMP chip 235 amplifies the voice information extracted by the DSP chip 234 and inputs the amplified voice information to audio devices such as a speaker and a communication device for internal playback or audio communication transmission.
In the embodiment of the present invention, the laser facial recognition noise reduction device 100 scans the facial changes of the user through the infrared laser scanning module 2 to determine whether the current user utters a voice, and correspondingly extracts and separates the voice information sent by the user from the voice information of the external environment, so that the noise reduction depth of 80dB can be achieved even in a complex external environment, and normal calls with higher reliability in a severe environment can be satisfied.
On the basis of the above embodiments, referring to fig. 2, a schematic structural diagram of a laser facial recognition noise reduction earphone to which the laser facial recognition noise reduction apparatus 100 described in the above embodiments is applied is shown.
The laser facial line recognition noise reduction earphone of the embodiment of the invention is a headset and comprises a laser facial line recognition noise reduction device 100, a first bracket 200, a second bracket 300 and two earmuffs 400; the first bracket 200 has an arc structure, and is matched with the shape of the head of the person, the two earmuffs 400 are oppositely arranged and respectively fixed at the two lower ends of the first bracket 200, and the two earmuffs 400 are respectively positioned at the two ears of the person; the laser facial line recognition noise reduction device 100 is fixedly arranged on one of the earmuffs 400 through the second bracket 300, and the laser facial line recognition noise reduction device 100 is positioned at the position about 10 cm-20 cm right in front of the mouth of a person.
The CCD camera 21, the infrared laser emitter 22 and the microphone 1 are correspondingly installed in the CCD window 101, the infrared window 102 and the microphone window 103 respectively on the laser surface grain recognition noise reduction device 100, wherein the CCD window 101 is used for acquiring images by the CCD camera 21, the infrared window 102 is used for outputting uniform light by the infrared laser emitter 22, and the microphone window 103 is used for acquiring voice information sent by a user by the microphone 1.
The earmuff 400 comprises an earphone shell 401, a loudspeaker 402, a plastic layer 403, a cotton yarn layer 404, a first sponge layer 405 and a second sponge layer 406; the second sponge layer 406 is wrapped around the sound outlet of the earphone shell 401, and the second sponge layer 406 is a leather sheath sound insulation sponge and is fixed on the inner side of the earphone shell 401 through EVA glue or other adhesives; the speaker 402, the plastic layer 403, the cotton yarn layer 404 and the first sponge layer 405 are sequentially arranged inside the corresponding position of the sound outlet of the earphone shell 401 from inside to outside; the loudspeaker 402 is configured to receive the voice information output by the laser facial pattern recognition noise reduction device 100 and generate sound, the plastic layer 403 is a double-layer plastic for sound insulation, and an air hole is processed at the edge of the plastic layer 403 near the inner layer of the loudspeaker 402, which mainly prevents expansion due to heat and contraction due to cold and swelling due to sound; the cotton yarn layer 404 and the first sponge layer 405 are thinner in thickness, so as to prevent dust and reduce occupied space.
The laser facial line recognition noise reduction earphone disclosed by the embodiment of the invention is provided with the corresponding functional components and beneficial effects of the laser facial line recognition noise reduction earphone disclosed by the embodiment, and technical details which are not described in detail in the embodiment can be seen in the embodiment of the laser facial line recognition noise reduction device, and the embodiment of the invention is not repeated here.
Based on the above embodiment, the laser facial line recognition noise reduction earphone may also be an in-ear earphone, and the earmuff 400 may be replaced by an earplug to achieve a corresponding function.
On the basis of the above embodiment, referring to fig. 3, a schematic flow chart of a laser line recognition noise reduction method according to an embodiment of the present invention includes the following steps:
s301: collecting sound information of an external environment, including voice information sent by a user and environmental noise;
s302: outputting uniform light to irradiate the human face, collecting the light reflected by the human face, identifying the internal characteristic change attribute of the human face according to the intensity change of the light so as to determine the corresponding facial texture code, and comparing the facial texture code with internally stored facial texture code data;
s303: and extracting and separating effective voice in the voice information according to the comparison result of the face code, wherein the effective voice is voice information sent by a user.
The laser facial line recognition noise reduction method provided by the embodiment of the invention is applied to the laser facial line recognition noise reduction device provided by the embodiment, and has the corresponding functional components and beneficial effects of the laser facial line recognition noise reduction device provided by the embodiment, and technical details which are not described in detail in the embodiment can be seen in the embodiment of the laser facial line recognition noise reduction device, and the embodiment of the invention is not repeated here.
In the above embodiments of the present invention, it should be understood that the modules described as separate components may or may not be physically separate, i.e., may be located in one place, or may be distributed over multiple locations. Some or all of them can be selected according to actual needs to achieve the purpose of the embodiment scheme.
Although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that the present invention may be modified or equivalents substituted for some of the features thereof. All equivalent structures made by the content of the specification and the drawings of the invention are directly or indirectly applied to other related technical fields, and are also within the scope of the invention.
Claims (8)
1. A laser facial line recognition noise reduction device, comprising: the microphone is electrically connected with the infrared laser scanning module; the microphone is used for collecting sound information of an external environment, comprising voice information sent by a user and environment noise, and sending the sound information to the infrared laser scanning module; the infrared laser scanning module is used for synchronously acquiring facial images of the user and corresponding generated facial line codes, and comparing the facial line images with internally stored facial line code data so as to determine voice information sent by the user;
the infrared laser scanning module comprises a CCD camera, an infrared laser emitter and a processing circuit module, wherein the infrared laser emitter is installed on the CCD camera in a combined mode, and the CCD camera is electrically connected with the processing circuit module; the infrared laser transmitter is used for outputting uniform light to irradiate on a human face, the CCD camera collects light reflected by the human face, and recognizes the internal characteristic change attribute of the human face according to the intensity change of the light so as to determine the corresponding facial pattern code, and meanwhile, the infrared laser transmitter is compared with internally stored facial pattern code data to output a comparison result to the processing circuit module, and the processing circuit module is used for extracting and separating effective voice in the voice information according to the comparison result of the facial pattern code, wherein the effective voice refers to voice information sent by a user;
the processing circuit module comprises a microprocessor, a voice recognition chip, a FLASH memory chip and a DSP chip, wherein the microprocessor, the FLASH memory chip and the DSP chip are electrically connected with the voice recognition chip; the voice recognition chip is used for extracting the characteristics of the voice information of the external environment acquired by the microphone according to the comparison result of the face line code, and simultaneously matching the DSP chip and comparing the voice information with voice characteristic data stored in the FLASH memory chip to determine corresponding voice; the microprocessor is used for completely counteracting or filtering sound wave spectrums with opposite phases generated by the environmental noise except the voice information sent by the user; the DSP chip is used for extracting and separating voice information sent by a user from the voice information of the external environment through digital signal processing;
the processing circuit module further comprises an AMP chip, wherein the AMP chip is electrically connected with the DSP chip, and the AMP chip amplifies voice information extracted by the DSP chip.
2. The laser line recognition noise reduction device according to claim 1, wherein: the infrared laser emitter comprises an infrared laser LED lamp, an optical filter, a light homogenizing film and a light scattering lens, wherein the infrared laser LED lamp, the optical filter, the light homogenizing film and the light scattering lens are coaxially arranged, the optical filter is used for filtering interference light, and the light homogenizing film and the light scattering lens are respectively used for homogenizing light and scattering light and are matched with each other to enable the light to uniformly irradiate on a human face; the infrared laser LED lamp is used as a light source to output infrared laser, and the infrared laser sequentially passes through the optical filter, the light homogenizing film and the light scattering mirror and then irradiates on a human face.
3. A laser facial line recognition noise reduction earphone applied to the laser facial line recognition noise reduction device of any one of the claims 1-2, comprising: the laser line recognition noise reduction device, the first bracket, the second bracket and the two earmuffs; the first support is of an arc-shaped structure, the two earmuffs are oppositely arranged and respectively fixed at the two lower ends of the first support, and the laser facial line recognition noise reduction device is fixedly arranged on one of the earmuffs through the second support.
4. A laser facial mark recognition noise reduction earphone according to claim 3, wherein: the laser face line recognition noise reduction device is characterized in that a CCD (charge coupled device) window, an infrared window and a microphone window are respectively arranged on the laser face line recognition noise reduction device, the CCD camera, the infrared laser emitter and the microphone are respectively correspondingly arranged in the CCD window, the infrared window and the microphone window, the CCD window is used for the CCD camera to acquire images, the infrared window is used for the infrared laser emitter to output uniform light, and the microphone window is used for the microphone to collect voice information sent by a user.
5. A laser facial mark recognition noise reduction earphone according to claim 3, wherein: the earmuff comprises a earphone shell, a loudspeaker, a plastic layer, a cotton yarn layer and a first sponge layer; inside that the sound outlet of earphone shell corresponds the position has set gradually from inside to outside loudspeaker, plastic layer, cotton yarn layer and first sponge layer.
6. The laser line identification noise reduction headset of claim 5, wherein: the plastic layer is double-layer plastic for sound insulation, and air holes are processed in the edge of the plastic layer, which is close to the inner layer of the loudspeaker.
7. The laser facial line identification noise reduction headset of claim 4, wherein: the earmuff also comprises a second sponge layer, wherein the second sponge layer is leather sheath sound insulation sponge, and the second sponge layer is coated on the periphery of the sound outlet of the earphone shell.
8. A laser moire recognition noise reduction method applied to the laser moire recognition noise reduction device of any one of claims 1-2, comprising:
collecting sound information of an external environment, including voice information sent by a user and environmental noise;
outputting uniform light to irradiate the human face, collecting the light reflected by the human face, identifying the internal characteristic change attribute of the human face according to the intensity change of the light so as to determine the corresponding facial texture code, and comparing the facial texture code with internally stored facial texture code data;
and extracting and separating effective voice in the voice information according to the comparison result of the face code, wherein the effective voice is voice information sent by a user.
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| CN110839108A (en) * | 2019-11-06 | 2020-02-25 | 维沃移动通信有限公司 | Noise reduction method and electronic equipment |
| CN113076856B (en) * | 2021-03-30 | 2022-09-06 | 华录智达科技股份有限公司 | Bus safety guarantee system based on face recognition |
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