CN112312259B - Intelligent earphone capable of suppressing environmental noise - Google Patents

Intelligent earphone capable of suppressing environmental noise Download PDF

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CN112312259B
CN112312259B CN202010934115.3A CN202010934115A CN112312259B CN 112312259 B CN112312259 B CN 112312259B CN 202010934115 A CN202010934115 A CN 202010934115A CN 112312259 B CN112312259 B CN 112312259B
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noise
noise reduction
determining
intensity
signal
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CN112312259A (en
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王雨雷
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Shenzhen Yiyin Technology Co ltd
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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
    • H04R1/1083—Reduction of ambient noise
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10K—SOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
    • G10K11/00—Methods or devices for transmitting, conducting or directing sound in general; Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
    • G10K11/16—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
    • G10K11/175—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound
    • G10K11/178—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase
    • G10K11/1781—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase characterised by the analysis of input or output signals, e.g. frequency range, modes, transfer functions
    • 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
    • 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
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

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  • Engineering & Computer Science (AREA)
  • Acoustics & Sound (AREA)
  • Signal Processing (AREA)
  • Multimedia (AREA)
  • Soundproofing, Sound Blocking, And Sound Damping (AREA)

Abstract

The application relates to the technical field of audio, in particular to an intelligent earphone for suppressing environmental noise, which comprises a noise reduction chip, wherein the noise reduction chip is provided with an acquisition unit, a first determination unit, a second determination unit, a third determination unit and a noise reduction unit, and the second determination unit is used for determining the signal-to-noise ratio in the current scene according to the signal intensity of the current audio and the noise intensity; the shell body is provided with a middle cavity, a pore channel and a leakage hole. In the embodiment of the invention, the signal-to-noise ratio between the noise and the audio frequency can be determined based on the noise condition in the current environment, and then the corresponding noise reduction mode is determined based on the signal-to-noise ratio, so that the self-adaptive noise reduction processing is carried out based on different environments, the intelligence and the efficiency of the noise reduction process and the accuracy of the noise reduction effect are improved, the reduction degree of the frequency response range can be reduced, and the sensitivity of the earphone speaker can be ensured.

Description

Intelligent earphone capable of suppressing environmental noise
Technical Field
The application relates to the technical field of audio, in particular to an environmental noise suppression intelligent earphone.
Background
In many noise reduction scenarios, noise reduction is divided into active noise reduction and passive noise reduction. The active noise reduction function is to generate reverse sound waves equal to external noise through a noise reduction system to neutralize the noise, so that the noise reduction effect is realized. The passive noise reduction earphone mainly forms a closed space by surrounding ears, or adopts sound insulation materials such as silica gel earplugs and the like to block outside noise. However, both active noise reduction and passive noise reduction are easily affected by the external environment, so that a good noise reduction effect cannot be achieved, and meanwhile, the conventional earphone acoustic structure easily causes the frequency response range to be reduced, and the sensitivity of the earphone is reduced.
Disclosure of Invention
The embodiment of the application provides an ambient noise suppression intelligence earphone, and then can fall to a certain extent at least to the external scene of difference and make an uproar, improves the effect of making an uproar.
Other features and advantages of the present application will be apparent from the following detailed description, or may be learned by practice of the application.
According to an aspect of an embodiment of the present application, an ambient noise suppression smart headset is provided, which includes a noise reduction chip, where the noise reduction chip is provided with an obtaining unit, a first determining unit, a second determining unit, a third determining unit, and a noise reduction unit; the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring noise in a current scene; the first determining unit is used for determining the noise intensity of the noise according to the information of the noise; the second determining unit is used for determining the signal-to-noise ratio in the current scene according to the signal intensity of the current audio and the noise intensity; a third determining unit, configured to determine a noise reduction level based on the signal-to-noise ratio; the noise reduction unit is used for carrying out noise reduction processing based on a noise reduction mode corresponding to the noise reduction grade;
the front shell is provided with a middle cavity, a pore channel and a leakage hole, a resonance damping horn box for mounting a horn is arranged in the middle cavity, one end of the leakage hole is communicated with the front cavity, the other end of the leakage hole is communicated with the outside, one end of the pore channel is communicated with the waist of the leakage hole, and one end of the pore channel is communicated with a space in the resonance damping horn box; the resonance damping horn box comprises a main box body and a box cover, wherein the box cover is embedded in the open end of the main box body, the bottom of the main box body is provided with a via hole, and the via hole conducts the front cavity and the interior of the main box body; the rear shell is provided with a rear cavity, and the box cover is positioned in the rear cavity; the noise reduction chip is arranged in the rear shell and is connected with the horn electrical signal.
According to an aspect of an embodiment of the present application, a noise reduction method used in a noise reduction mode of an ambient noise suppression smart headphone of the present invention includes:
acquiring noise in a current scene;
determining the noise intensity of the noise according to the information of the noise;
determining the signal-to-noise ratio in the current scene according to the signal intensity of the current audio and the noise intensity;
determining a noise reduction level based on the signal-to-noise ratio;
performing noise reduction processing based on a noise reduction mode corresponding to the noise reduction grade;
the noise comprises a first noise and a second noise which are acquired by two channels;
determining the noise intensity of the noise according to the information of the noise, comprising:
determining the noise intensity spectrum according to the noise sound pressure spectrum of the first noise, the noise sound pressure spectrum of the second noise and the phase difference between the first noise and the second noise;
and determining the noise intensity of the noise according to the noise intensity spectrum and a preset noise intensity parameter.
According to an aspect of the embodiment of the present invention, in the ambient noise suppression smart headset, the determining, according to the noise sound pressure spectrum of the first noise, the noise sound pressure spectrum of the second noise, and the phase difference between the first noise and the second noise, the noise intensity spectrum is:
Figure BDA0002671323410000031
wherein k represents the time of the noise intensity spectrum; d a (k) A noise sound pressure spectrum representing the first noise; d b (k) A noise sound pressure spectrum representing the second noise; Δ φ (k) represents a phase difference between the first noise and the second noise;
according to the noise intensity spectrum and a preset noise intensity parameter, determining the noise intensity of the noise as follows: s. the N (k)＝C k D k ；
Wherein, C k Representing the noise strength parameter.
According to an aspect of the embodiment of the present invention, an ambient noise suppression intelligent headphone determines a signal-to-noise ratio in a current scene according to a signal strength of a current audio and a noise strength of the current audio, including:
Figure BDA0002671323410000032
wherein N represents a time length corresponding to the audio; s (k) represents the signal strength of the current audio.
According to an aspect of the embodiment of the present application, an ambient noise suppression smart headset of the present invention obtains noise in a current scene, including:
sampling sound in a current scene to obtain noise in the current scene;
determining a noise reduction grade corresponding to a signal-to-noise ratio according to a corresponding relation between a preset signal-to-noise ratio and the noise reduction grade;
determining a noise reduction mode corresponding to the noise reduction grade according to a corresponding relation between a preset noise reduction equal and a noise reduction mode;
and performing noise reduction processing on the current audio based on the noise reduction mode.
According to an aspect of the embodiment of the application, in the ambient noise suppression smart earphone, the mass of the resonance damping horn box is 1.3 to 1.4 times of the mass of the front shell.
According to one aspect of the embodiment of the application, the main box body is provided with the supporting through hole, the flat pressing pipe body penetrates through the supporting through hole, one end of the flat pressing pipe body is located inside the main box body, and the other end of the flat pressing pipe body is inserted into the hole and communicated with the hole.
According to one aspect of the embodiment of the application, the ambient noise suppression intelligent earphone comprises at least two supporting through holes which are arranged at equal intervals along the circumferential direction of the main box body, at least two flat pressing pipe bodies are arranged, and the resonance damping horn box is connected with the front shell in a suspension mode through the at least two flat pressing pipe bodies.
According to an aspect of the embodiment of the application, in the intelligent earphone for suppressing environmental noise, the elastic modulus of the flat pressing pipe body is 0.3-0.45 GPa.
According to an aspect of an embodiment of the present application, in the ambient noise suppression smart earphone according to the present invention, a ratio of a mass of the resonance damping horn box to a mass of the front case is equal to a ratio of a sound velocity of the resonance damping horn box to a sound velocity of the front case.
In the technical solutions provided in some embodiments of the present application, noise in a current scene is obtained; determining the noise intensity of the noise according to the information of the noise; determining the signal-to-noise ratio in the current scene according to the signal intensity and the noise intensity of the current audio; determining a noise reduction level based on the signal-to-noise ratio; and performing noise reduction processing based on a noise reduction mode corresponding to the noise reduction level. In the embodiment, the signal-to-noise ratio between the noise and the audio is determined based on the noise condition in the current environment, and then the corresponding noise reduction mode is determined based on the signal-to-noise ratio, so that the self-adaptive noise reduction processing is carried out based on different environments, the intelligence and the efficiency of the noise reduction process and the accuracy of the noise reduction effect are improved, and meanwhile, the acoustic structure of the earphone can reduce the reduction degree of the frequency response range and can ensure the sensitivity of the earphone loudspeaker.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and, together with the description, serve to explain the principles of the application. It is obvious that the drawings in the following description are only some embodiments of the application, and that for a person skilled in the art, other drawings can be derived from them without inventive effort. In the drawings:
fig. 1 schematically shows a schematic cross-sectional structure diagram of an ambient noise suppression smart headset according to the present invention.
Fig. 2 schematically illustrates a flow chart of a noise reduction method of an ambient noise suppression smart headset according to an embodiment of the present application;
fig. 3 schematically illustrates a block diagram of an ambient noise suppression smart headset according to one embodiment of the present application.
Fig. 4 is a schematic diagram illustrating an exploded structure of an ambient noise suppression smart headset according to the present invention.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art.
Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the application. One skilled in the relevant art will recognize, however, that the embodiments of the present application can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and so forth. In other instances, well-known methods, devices, implementations, or operations have not been shown or described in detail to avoid obscuring aspects of the application.
The block diagrams shown in the figures are functional entities only and do not necessarily correspond to physically separate entities. I.e. these functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor means and/or microcontroller means.
The flow charts shown in the drawings are merely illustrative and do not necessarily include all of the contents and operations/steps, nor do they necessarily have to be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the actual execution sequence may be changed according to the actual situation.
The implementation details of the technical solution of the embodiment of the present application are set forth in detail below:
as shown in fig. 1, 2, and 4, the ambient noise suppression intelligent headphone of the present invention includes a noise reduction chip, where the noise reduction chip is provided with an obtaining unit, a first determining unit, a second determining unit, a third determining unit, and a noise reduction unit; the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring noise in a current scene; a first determining unit, configured to determine a noise strength of the noise according to the information of the noise; the second determining unit is used for determining the signal-to-noise ratio in the current scene according to the signal intensity of the current audio and the noise intensity; a third determining unit for determining a noise reduction level based on the signal-to-noise ratio; the noise reduction unit is used for carrying out noise reduction processing based on a noise reduction mode corresponding to the noise reduction grade; the loudspeaker box comprises a front shell 1 and a rear shell 2, wherein the front shell 1 is provided with a middle cavity 02, a pore passage 11 and a leakage hole 12, a resonance damping loudspeaker box 3 for mounting a loudspeaker is arranged in the middle cavity 02, one end of the leakage hole 12 is communicated with the front cavity 01, the other end of the leakage hole 12 is communicated with the outside, one end of the pore passage 11 is communicated with the waist of the leakage hole 12, and one end of the pore passage 11 is communicated with a space in the resonance damping loudspeaker box 3; the resonance damping horn box 3 comprises a main box body 31 and a box cover 32, wherein the box cover 32 is embedded in the opening end of the main box body 31, the bottom of the main box body 31 is provided with a through hole, and the through hole conducts the front cavity 01 and the interior of the main box body 31; the rear shell 2 is provided with a rear cavity 03, and the box cover 32 is positioned in the rear cavity 03; the chip of making an uproar falls and sets up in backshell 2, and the chip of making an uproar falls and loudspeaker signal of telecommunication are connected.
According to the intelligent earphone for inhibiting the environmental noise, the air pressure in the leakage hole 12 and the resonance damping loudspeaker box 3 tends to be in linkage balance, the consistency of the earphone when the earphone is designed and worn by a real person can be improved, the reduction degree of the frequency response range is reduced, and the sensitivity of the earphone loudspeaker can be guaranteed; specifically, the diameter of the leakage hole 12 is 3 to 6mm.
Fig. 2 shows a flow chart of a noise reduction method of an ambient noise suppression smart headset according to an embodiment of the present application. Referring to fig. 2, the ambient noise suppression smart headset at least includes steps S110 to S150, which are described in detail as follows:
in step S110, noise in the current scene is acquired.
In one embodiment of the present application, the manner of acquiring the noise in the current scene may be a real-time acquisition manner, for example, acquiring a segment of noise data.
In an embodiment of the present application, the sound in the current scene may also be sampled to obtain sampled data, which is used as the noise in the current scene. In this embodiment, noise is obtained by sampling to reduce the data amount of noise processing, improve the efficiency of audio noise reduction, and achieve the effect of high-speed audio noise reduction.
In step S120, the noise intensity of the noise is determined based on the information of the noise.
In one embodiment of the present application, the information of the noise includes information such as volume, intensity, or sound pressure of the noise, and other types of sound information may be included. In the present embodiment, information such as the volume and intensity of noise may be used as the noise intensity of noise.
In an embodiment of the present application, the noise includes two channels to obtain a first noise and a second noise; the process of determining the noise strength of the noise according to the noise information in step S120 includes the following steps:
determining a noise intensity spectrum according to the noise sound pressure spectrum of the first noise, the noise sound pressure spectrum of the second noise and the phase difference between the first noise and the second noise;
and determining the noise intensity of the noise according to the noise intensity spectrum and a preset noise intensity parameter.
Specifically, in this embodiment, the noise intensity spectrum is determined according to the noise sound pressure spectrum of the first noise, the noise sound pressure spectrum of the second noise, and the phase difference between the first noise and the second noise, and is:
Figure BDA0002671323410000071
wherein k represents the time of the noise intensity spectrum; d a (k) A noise sound pressure spectrum representing the first noise; d b (k) A noise sound pressure spectrum representing the second noise; Δ Φ (k) represents a phase difference between the first noise and the second noise;
according to the noise intensity spectrum and a preset noise intensity parameter, determining the noise intensity of the noise as follows: s. the N (k)＝C k D k ；
Wherein, C k Representing a noise strength parameter.
In step S130, a signal-to-noise ratio in the current scene is determined according to the signal strength and the noise strength of the current audio.
In an embodiment of the present application, the signal-to-noise ratio is used to represent a ratio between a signal intensity of an audio and a noise intensity of a noise, so as to measure the ratio between the audio and the noise in the current environment through the signal-to-noise ratio, and to ensure the playing effect of the audio by using a low-level noise reduction method under the condition of a low signal-to-noise ratio; under the condition of high signal-to-noise ratio, a high-level noise reduction method is adopted to reduce the influence of noise on audio playing, and further, the corresponding noise reduction method is adopted according to different environment states, so that a balanced noise reduction effect is achieved.
In one embodiment of the present application, determining a signal-to-noise ratio in a current scene according to a signal strength and a noise strength of a current audio includes:
Figure BDA0002671323410000081
wherein, N represents the time length corresponding to the audio; s (k) represents the signal strength of the current audio.
In addition, the noise reduction principle is the same for the continuous audio signal and the noise signal, and the details are not repeated here.
In step S140, a noise reduction level is determined based on the signal-to-noise ratio.
In an embodiment of the present application, a correspondence is preset for the signal-to-noise ratio and the noise reduction level, so as to determine the noise reduction level corresponding to the signal-to-noise ratio based on the correspondence between the signal-to-noise ratio and the noise reduction level.
For example, the corresponding noise reduction level is determined according to the threshold range corresponding to the signal-to-noise ratio through the threshold range corresponding to each noise reduction level. For example, the noise reduction levels may include a primary noise reduction level, a secondary noise reduction level, a tertiary noise reduction level, and the like, where a signal-to-noise ratio corresponding to the primary noise reduction level is 0.8 to 1.0, a signal-to-noise ratio corresponding to the secondary noise reduction level is 0.6 to 0.8, and a signal-to-noise ratio corresponding to the tertiary noise reduction level is less than 0.6. And when the calculated signal-to-noise ratio is 0.5, determining that the corresponding noise reduction level is a three-level noise reduction level, which indicates that the intensity of the current noise is higher than that of the audio.
In step S150, noise reduction processing is performed based on the noise reduction method corresponding to the noise reduction level.
In one embodiment of the application, a noise reduction mode corresponding to a noise reduction grade is determined according to a corresponding relation between preset noise reduction equals and the noise reduction mode; and performing noise reduction processing on the current audio in a noise reduction-based mode. Specifically, in this embodiment, different noise reduction levels correspond to noise reduction modes with different strengths, for example, the noise reduction strength corresponding to the three-level noise reduction level is higher than the noise reduction strength corresponding to the two-level noise reduction level.
In an embodiment of the present application, when the calculated signal-to-noise ratio is 0.5, it is determined that the corresponding noise reduction level is a three-level noise reduction level, and then noise reduction processing is performed based on a noise reduction mode corresponding to the three-level noise reduction level.
The following describes embodiments of the apparatus of the present application, which may be used to implement an ambient noise suppression smart headset in the above embodiments of the present application. For details not disclosed in the embodiments of the apparatus of the present application, please refer to the embodiments of the ambient noise suppression smart headset described above in the present application.
Fig. 3 illustrates a block diagram of an ambient noise suppression smart headset according to one embodiment of the present application.
Referring to fig. 3, an ambient noise suppression smart headset 200 according to an embodiment of the present application includes:
an obtaining unit 210, configured to obtain noise in a current scene; a first determining unit 220, configured to determine a noise strength of the noise according to the information of the noise; a second determining unit 230, configured to determine a signal-to-noise ratio in the current scene according to the signal strength and the noise strength of the current audio; a third determining unit 240 for determining a noise reduction level based on the signal-to-noise ratio; the denoising unit 250 performs denoising processing based on a denoising method corresponding to the denoising level.
In some embodiments of the present application, based on the foregoing scheme, the noise includes that two channels acquire the first noise and the second noise; the first determination unit 220 includes: a fourth determination unit configured to determine a noise intensity spectrum from the noise sound pressure spectrum of the first noise, the noise sound pressure spectrum of the second noise, and a phase difference between the first noise and the second noise; and the fifth determining unit is used for determining the noise intensity of the noise according to the noise intensity spectrum and a preset noise intensity parameter.
In some embodiments of the present application, based on the foregoing solution, the noise intensity spectrum is determined according to the noise sound pressure spectrum of the first noise, the noise sound pressure spectrum of the second noise, and the phase difference between the first noise and the second noise as follows:
Figure BDA0002671323410000101
wherein k represents the time of the noise intensity spectrum; d a (k) A noise sound pressure spectrum representing the first noise; d b (k) A noise sound pressure spectrum representing the second noise; Δ Φ (k) represents a phase difference between the first noise and the second noise;
according to the noise intensity spectrum and a preset noise intensity parameter, determining the noise intensity of the noise as follows: s N (k)＝C k D k ；
Wherein, C k Representing a noise strength parameter.
In some embodiments of the present application, based on the foregoing scheme, the second determining unit 230 includes:
Figure BDA0002671323410000102
wherein, N represents the time length corresponding to the audio; s (k) represents the signal strength of the current audio.
In some embodiments of the present application, based on the foregoing scheme, the obtaining unit 210 is configured to sample sound in the current scene, so as to obtain noise in the current scene.
In some embodiments of the present application, based on the foregoing scheme, the third determining unit 240 is configured to: and determining the noise reduction grade corresponding to the signal-to-noise ratio according to the corresponding relation between the preset signal-to-noise ratio and the noise reduction grade.
In some embodiments of the present application, based on the foregoing scheme, the noise reduction unit 250 is configured to: determining a noise reduction mode corresponding to the noise reduction grade according to the corresponding relation between the preset noise reduction equal and the noise reduction mode; and performing noise reduction processing on the current audio based on a noise reduction mode.
According to one aspect of the embodiment of the application, in the intelligent earphone for environmental noise suppression, the mass of the resonance damping horn box 3 is 1.3-1.4 times of the mass of the front shell 1, so that the resonance damping horn box 3 does not resonate with the front shell 1 synchronously;
according to an aspect of the embodiment of the present application, in the intelligent earphone for environmental noise suppression of the present invention, the main box 31 is provided with the support through hole 33, the support through hole 33 is provided with the flat pressing tube 4 in a penetrating manner, one end of the flat pressing tube 4 is located inside the main box 31, and the other end of the flat pressing tube 4 is inserted into the hole 11 and is communicated with the hole 11.
According to an aspect of the embodiment of the present application, in the intelligent earphone for suppressing environmental noise, at least two support through holes 33 are provided at equal intervals along the circumferential direction of the main box body 31, at least two flat pressing pipe bodies 4 are provided, and the resonance damping horn box 3 is connected with the front shell 1 in a suspension mounting manner through at least two flat pressing pipe bodies 4. Resonance damping loudspeaker box 3 passes through concora crush body 4 and preceding 1 suspension erection joint of shell reduce with preceding 1 contact of shell to during the loudspeaker wind sound, resonance damping loudspeaker box 3 and preceding shell 1 can take place incoherent asynchronous resonance, are convenient for take into account resonance damping loudspeaker box 3 and preceding 1 respective resonance attribute of shell when analytic sound digital signal, utilize the software program to eliminate or reduce the resonance of resonance damping loudspeaker box 3 and preceding shell 1 to the influence of frequency response scope.
According to an aspect of the embodiment of the present application, in the intelligent earphone for suppressing environmental noise, the elastic modulus of the flat pressing pipe body 4 is 0.3-0.45 Gpa, which further reduces the association that the resonance damping horn box 3 and the front shell 1 can resonate.
According to an aspect of the embodiment of the present application, in the ambient noise suppression smart headset of the present invention, the ratio of the mass of the resonance damping horn box 3 to the mass of the front housing 1 is equal to the ratio of the sound velocity of the resonance damping horn box to the sound velocity of the front housing 1, so that the association that the resonance damping horn box 3 and the front housing 1 can resonate is further reduced.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. Each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present application may be implemented by software, or may be implemented by hardware, and the described units may also be disposed in a processor. Wherein the names of the elements do not in some way constitute a limitation on the elements themselves.
It should be noted that although in the above detailed description several modules or units of the device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functions of two or more modules or units described above may be embodied in one module or unit according to embodiments of the application. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which can be a personal computer, a server, a touch terminal, or a network device, etc.) to execute the method according to the embodiments of the present application.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the embodiments disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains.
It will be understood that the present application is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.

Claims (6)

1. An intelligent ambient noise suppression earphone is characterized by comprising a noise reduction chip, wherein the noise reduction chip is provided with an acquisition unit, a first determination unit, a second determination unit, a third determination unit and a noise reduction unit; the device comprises an acquisition unit, a processing unit and a processing unit, wherein the acquisition unit is used for acquiring noise in a current scene; the first determining unit is used for determining the noise intensity of the noise according to the information of the noise; the second determining unit is used for determining the signal-to-noise ratio in the current scene according to the signal intensity of the current audio and the noise intensity; a third determining unit for determining a noise reduction level based on the signal-to-noise ratio; the noise reduction unit is used for carrying out noise reduction processing based on a noise reduction mode corresponding to the noise reduction grade;
the front shell is provided with a middle cavity, a pore channel and a leakage hole, a resonance damping horn box for mounting a horn is arranged in the middle cavity, one end of the leakage hole is communicated with the front cavity, the other end of the leakage hole is communicated with the outside, one end of the pore channel is communicated with the waist of the leakage hole, and one end of the pore channel is communicated with a space in the resonance damping horn box; the resonance damping horn box comprises a main box body and a box cover, wherein the box cover is embedded in the opening end of the main box body, the bottom of the main box body is provided with a via hole, and the via hole conducts the front cavity and the interior of the main box body; the rear shell is provided with a rear cavity, and the box cover is positioned in the rear cavity; the noise reduction chip is arranged in the rear shell and is electrically connected with the horn; the noise reduction method used by the noise reduction mode of the environment noise suppression intelligent earphone comprises the following steps:
acquiring noise in a current scene; determining the noise intensity of the noise according to the information of the noise; determining the signal-to-noise ratio in the current scene according to the signal intensity of the current audio and the noise intensity;
determining a noise reduction level based on the signal-to-noise ratio;
performing noise reduction processing based on a noise reduction mode corresponding to the noise reduction grade;
the noise comprises a first noise and a second noise which are acquired by two channels;
determining the noise intensity of the noise according to the information of the noise, comprising:
determining the noise intensity spectrum according to the noise sound pressure spectrum of the first noise, the noise sound pressure spectrum of the second noise and the phase difference between the first noise and the second noise;
determining the noise intensity of the noise according to the noise intensity spectrum and a preset noise intensity parameter; determining, according to the noise sound pressure spectrum of the first noise, the noise sound pressure spectrum of the second noise, and the phase difference between the first noise and the second noise, that the noise intensity spectrum is:
Figure FDA0003986978950000021
wherein k represents the time of the noise intensity spectrum; d a (k) A noise sound pressure spectrum representing the first noise; d b (k) A noise sound pressure spectrum representing the second noise; Δ φ (k) represents the first noise sumA phase difference between the second noises;
according to the noise intensity spectrum and a preset noise intensity parameter, determining the noise intensity of the noise as follows: s N (k)＝C k D k ；
Wherein, C k Representing the noise strength parameter; determining a signal-to-noise ratio in the current scene according to the signal intensity of the current audio and the noise intensity, including:
Figure FDA0003986978950000022
wherein N represents a time length corresponding to the audio; s (k) represents the signal strength of the current audio; acquiring noise in a current scene, including:
sampling sound in a current scene to obtain noise in the current scene;
determining a noise reduction grade corresponding to a signal-to-noise ratio according to a corresponding relation between a preset signal-to-noise ratio and the noise reduction grade;
determining a noise reduction mode corresponding to the noise reduction grade according to a corresponding relation between preset noise reduction equal and the noise reduction mode;
and performing noise reduction processing on the current audio based on the noise reduction mode.
2. The ambient noise suppression smart headset of claim 1, wherein: the mass of the resonance damping horn box is 1.3 to 1.4 times of that of the front shell.
3. The ambient noise suppression smart headset of claim 1, wherein: the main box body is provided with a supporting through hole, a flat pressing pipe body is arranged in the supporting through hole in a penetrating mode, one end of the flat pressing pipe body is located inside the main box body, and the other end of the flat pressing pipe body is inserted into the hole channel in an inserting mode and is communicated with the hole channel.
4. The ambient noise suppression smart headset of claim 3, wherein: the supporting through holes are arranged at equal intervals along the circumferential direction of the main box body, the flat pressing pipe bodies are arranged at least two, and the resonance damping horn box is connected with the front shell in a suspension mode through the flat pressing pipe bodies at least two.
5. The ambient noise suppression smart headset of claim 4, wherein: the elastic modulus of the flat pressing pipe body is 0.3-0.45 GPa.
6. The ambient noise suppression smart headset of claim 1, wherein: the ratio of the mass of the resonance damping horn box to the mass of the front shell is equal to the ratio of the sound velocity of the resonance damping horn box to the sound velocity of the front shell.
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