CN110517660A - Noise-reduction method and device based on built-in Linux real-time kernel - Google Patents
Noise-reduction method and device based on built-in Linux real-time kernel Download PDFInfo
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- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
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- G10K11/16—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
- G10K11/175—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound
- G10K11/178—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase
- G10K11/1781—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase characterised by the analysis of input or output signals, e.g. frequency range, modes, transfer functions
- G10K11/17821—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase characterised by the analysis of input or output signals, e.g. frequency range, modes, transfer functions characterised by the analysis of the input signals only
- G10K11/17823—Reference signals, e.g. ambient acoustic environment
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
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- G10K11/00—Methods or devices for transmitting, conducting or directing sound in general; Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
- G10K11/16—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general
- G10K11/175—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound
- G10K11/178—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase
- G10K11/1781—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase characterised by the analysis of input or output signals, e.g. frequency range, modes, transfer functions
- G10K11/17821—Methods or devices for protecting against, or for damping, noise or other acoustic waves in general using interference effects; Masking sound by electro-acoustically regenerating the original acoustic waves in anti-phase characterised by the analysis of input or output signals, e.g. frequency range, modes, transfer functions characterised by the analysis of the input signals only
- G10K11/17825—Error signals
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- 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
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- G10K11/17879—General system configurations using both a reference signal and an error signal
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10K—SOUND-PRODUCING DEVICES; METHODS OR DEVICES FOR PROTECTING AGAINST, OR FOR DAMPING, NOISE OR OTHER ACOUSTIC WAVES IN GENERAL; ACOUSTICS NOT OTHERWISE PROVIDED FOR
- G10K2210/00—Details of active noise control [ANC] covered by G10K11/178 but not provided for in any of its subgroups
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Abstract
The application proposes noise-reduction method and device based on built-in Linux real-time kernel, and wherein device includes: sound detection device, for detecting indoor sound；Built-in Linux real-time kernel device for analyzing the indoor sound detected, and generates the reversed acoustic wave parameter for offsetting sound wave based on the analysis results；Sound wave generating means, for according to the reversed acoustic wave parameter for offsetting sound wave, reversed sound wave of offsetting is issued to weaken indoor sound, utilize the low delay of built-in Linux real-time kernel device, hard real time feature, quickly offset indoor sound, the sound of snoring for especially balancing out user's sending, so that user will not wake or reduce sleep quality up by indoor sound.
Description
Technical field
This application involves noise reduction fields, in particular to noise-reduction method and device based on built-in Linux real-time kernel.
Background technique
In user slept, certain customers can snore and issue the sound of snoring.Sleep will certainly be led in such a case for a long time
Apply family companion's sleep quality reduce.It goes with the user of sleep for such as man and wife etc., because double bed width is usually 1.8
Rice, this causes actual interval between companion may be less than 0.5 meter, and after a side issues the sound of snoring, the sound of snoring can be passed to another party soon
In ear, therefore the sound of snoring, the very high real-time of inevitable requirement are just eliminated before the sound of snoring passes in another companion's ear.It is existing
Often real-time is poor for the active noise reduction techniques for having in technology, causes the experience of user insufficient.
Therefore, real-time when noise reduction is improved, realizes low delay, hard real-time noise reduction, being that this field is urgently to be resolved asks
Topic.
Summary of the invention
This application provides a kind of noise-reduction method and device based on built-in Linux real-time kernel, for improving noise reduction
When real-time.
To solve the above-mentioned problems, it as the one aspect of the application, provides a kind of interior in real time based on built-in Linux
The denoising device of core, comprising:
Sound detection device, for detecting indoor sound；
Built-in Linux real-time kernel device, for analyzing the indoor sound detected, and based on the analysis results
Generate the reversed acoustic wave parameter for offsetting sound wave；
Sound wave generating means, for issuing reversed sound wave of offsetting to weaken room according to the reversed acoustic wave parameter for offsetting sound wave
Interior sound.
Optionally, further includes:
Sleep quality detection device for determining the sleep quality grade of user, and judges the sleep quality grade of user
Whether reach predetermined level, judging result is fed back into built-in Linux real-time kernel device；
Built-in Linux real-time kernel device is also used to when the sleep quality grade of user reaches predetermined level, record
The frequency and intensity of current indoor sound are not more than the frequency of current indoor sound in the frequency of the indoor sound detected later
Rate, the and when intensity of the indoor sound detected later is not more than the intensity of current indoor sound does not generate and reversed offsets sound wave
Acoustic wave parameter；
And/or built-in Linux real-time kernel device, it is also used to not up to default etc. in the sleep quality grade of user
When grade, the frequency and intensity of current indoor sound are recorded, are not less than current indoor in the frequency of the indoor sound detected later
The frequency of sound, and/or, when the intensity of the indoor sound detected later is not less than the intensity of current indoor sound, generate anti-
To the acoustic wave parameter for offsetting sound wave.
Optionally, built-in Linux real-time kernel device, for determining the frequency and/or intensity of indoor sound, indoors
The frequency of sound is greater than first frequency threshold value, and/or, when the intensity of indoor sound is greater than the first intensity threshold, generation is reversely supported
The acoustic wave parameter of noise elimination wave；
And/or built-in Linux real-time kernel device, for determining frequency, wavelength and the phase of indoor sound, and root
The reversed acoustic wave parameter for offsetting sound wave is generated according to the frequency of indoor sound, wavelength and phase, wherein the reversed sound wave for offsetting sound wave
Parameter includes reversed frequency, wavelength and the phase for offsetting sound wave, reversed to offset sound wave and the interior frequency of sound is identical, wavelength phase
Same and opposite in phase；
And/or indoor sound is the sound of snoring that user issues.
Optionally, further includes: sleep quality detection device；
Sleep quality detection device for determining the sleep quality grade of user, and judges the sleep quality grade of user
Whether reach predetermined level, judging result is fed back into built-in Linux real-time kernel device；
Built-in Linux real-time kernel device is also used to, and adjusts first frequency threshold value according to judging result, and/or, according to
Judging result adjusts the first intensity threshold.
Optionally, built-in Linux real-time kernel device, is used for:
When the sleep quality grade of user reaches predetermined level, if first frequency threshold value is less than the frequency of current indoor sound
Rate then sets the frequency that first frequency threshold value is equal to current indoor sound；And/or
When the sleep quality grade of user reaches predetermined level, if the first intensity threshold is less than the strong of current indoor sound
Degree then sets the intensity that the first intensity threshold is equal to current indoor sound；And/or
When the sleep quality grade of user is not up to predetermined level, if first frequency threshold value is greater than current indoor sound
Frequency then sets the frequency that first frequency threshold value is equal to current indoor sound；And/or
When the sleep quality grade of user reaches predetermined level, if the first intensity threshold is greater than the strong of current indoor sound
Degree then sets the intensity that the first intensity threshold is equal to current indoor sound.
Optionally, sleep quality detection fill, for obtain the turn number of user, the frequency that user makes a sound and/or
The lasting duration that user makes a sound；The frequency and/or user's sending sound made a sound according to the turn number of user, user
The lasting duration of sound determines the sleep quality grade of user.
The application also proposes a kind of noise-reduction method based on built-in Linux real-time kernel, comprising:
Detect indoor sound；
The indoor sound detected is analyzed using built-in Linux real-time kernel device, and based on the analysis results
Generate the reversed acoustic wave parameter for offsetting sound wave；
According to the reversed acoustic wave parameter for offsetting sound wave, reversed sound wave of offsetting is issued to weaken indoor sound.
Optionally, further includes:
It determines the sleep quality grade of user, and judges whether the sleep quality grade of user reaches predetermined level, will sentence
Disconnected result feeds back to built-in Linux real-time kernel device；
Using built-in Linux real-time kernel device, when the sleep quality grade of user reaches predetermined level, record is worked as
The frequency and intensity of sound in cup are not more than the frequency of current indoor sound in the frequency of the indoor sound detected later,
And the intensity of the indoor sound detected later does not generate the reversed sound for offsetting sound wave when being not more than the intensity of current indoor sound
Wave parameter；
And/or using built-in Linux real-time kernel device, predetermined level is not up in the sleep quality grade of user
When, the frequency and intensity of current indoor sound are recorded, are not less than current indoor sound in the frequency of the indoor sound detected later
The frequency of sound, and/or, when the intensity of the indoor sound detected later is not less than the intensity of current indoor sound, generate reversed
Offset the acoustic wave parameter of sound wave.
Optionally, the indoor sound detected is analyzed using built-in Linux real-time kernel device, and according to point
It analyses result and generates the reversed acoustic wave parameter for offsetting sound wave, comprising: determine the frequency and/or intensity of interior sound, indoors sound
Frequency be greater than first frequency threshold value, and/or, when the intensity of indoor sound is greater than the first intensity threshold, generate reversed counteracting sound
The acoustic wave parameter of wave；
And/or the indoor sound detected is analyzed using built-in Linux real-time kernel device, and according to point
It analyses result and generates the reversed acoustic wave parameter for offsetting sound wave, comprising: indoor sound is determined using built-in Linux real-time kernel method
Frequency, wavelength and phase, the reversed acoustic wave parameter for offsetting sound wave is generated according to the frequency of indoor sound, wavelength and phase,
In, the reversed acoustic wave parameter for offsetting sound wave includes reversed frequency, wavelength and the phase for offsetting sound wave, reversed to offset sound wave and interior
The frequency of sound is identical, wavelength is identical and opposite in phase；
And/or indoor sound is the sound of snoring that user issues.
Optionally, further includes:
It determines the sleep quality grade of user, and judges whether the sleep quality grade of user reaches predetermined level, will sentence
Disconnected result feeds back to built-in Linux real-time kernel device；
Using built-in Linux real-time kernel device, first frequency threshold value is adjusted according to judging result, and/or, according to sentencing
Disconnected result adjusts the first intensity threshold.
Optionally, first frequency threshold value is adjusted according to judging result, comprising:
When the sleep quality grade of user reaches predetermined level, if first frequency threshold value is less than the frequency of current indoor sound
Rate then sets the frequency that first frequency threshold value is equal to current indoor sound；
And/or；The first intensity threshold is adjusted according to judging result, comprising:
When the sleep quality grade of user reaches predetermined level, if the first intensity threshold is less than the strong of current indoor sound
Degree then sets the intensity that the first intensity threshold is equal to current indoor sound；
And/or first frequency threshold value is adjusted according to judging result, comprising:
When the sleep quality grade of user is not up to predetermined level, if first frequency threshold value is greater than current indoor sound
Frequency then sets the frequency that first frequency threshold value is equal to current indoor sound；
And/or；Adjusting the first intensity threshold according to judging result includes:
When the sleep quality grade of user reaches predetermined level, if the first intensity threshold is greater than the strong of current indoor sound
Degree then sets the intensity that the first intensity threshold is equal to current indoor sound.
Optionally, the sleep quality grade of user is determined, comprising: obtain the turn number of user, user makes a sound
The lasting duration that the frequency and/or user make a sound；The frequency that is made a sound according to the turn number of user, user and/or
The lasting duration that user makes a sound determines the sleep quality grade of user.
Present applicant proposes a kind of noise-reduction method and device based on built-in Linux real-time kernel, use are embedded
Linux real-time kernel device is quickly offset indoor using the low delay of built-in Linux real-time kernel device, hard real time feature
Sound especially balances out the sound of snoring of user's sending, so that user will not be waken or be reduced up sleep matter by indoor sound
Amount.
Detailed description of the invention
Fig. 1 is a kind of composition figure of the noise-reduction method based on built-in Linux real-time kernel in the embodiment of the present application；
Fig. 2 is a kind of flow chart of the noise-reduction method based on built-in Linux real-time kernel in the embodiment of the present application.
Specific embodiment
To keep the purposes, technical schemes and advantages of the application clearer, below in conjunction with the application specific embodiment and
Technical scheme is clearly and completely described in corresponding attached drawing.Obviously, described embodiment is only the application one
Section Example, instead of all the embodiments.Based on the embodiment in the application, those of ordinary skill in the art are not doing
Every other embodiment obtained under the premise of creative work out, shall fall in the protection scope of this application.
It should be noted that the description and claims of this application and term " first " in above-mentioned attached drawing, "
Two " etc. be to be used to distinguish similar objects, without being used to describe a particular order or precedence order.It should be understood that using in this way
Data be interchangeable under appropriate circumstances, so as to embodiments herein described herein can in addition to illustrating herein or
Sequence other than those of description is implemented.In addition, term " includes " and " having " and their any deformation, it is intended that cover
Covering non-exclusive includes to be not necessarily limited to for example, containing the process, method of a series of steps or units, method, product or method
Step or unit those of is clearly listed, but may include be not clearly listed or for these process, methods, product
Or other step or units that method is intrinsic.
Embodiment 1:
In order to improve the real-time in noise reduction process, low latency, hard real time noise reduction are realized, present applicant proposes one kind to be based on
The denoising device of built-in Linux real-time kernel characterized by comprising
Sound detection device 10, for detecting indoor sound；
Specifically, sound detection device 10 can be microphone matrix, indoor sound is detected by microphone matrix, it is excellent
Choosing, sound detection device 10 is uninterrupted in real time to obtain primary indoor sound, and the denoising device that the application proposes is preferred for using
Family sleep period, therefore sound detection device 10 is preferred for detecting the indoor sound of user's sleep period, sound detection device
The sound of snoring issued in the predominantly user snoring of user's sleep period detection.Sending when i.e. indoor sound can be user's sleep
The sound of snoring.When detecting indoor sound, the indoor sound that sound detection device 10 will test is converted into electric signal, is transferred to
Built-in Linux real-time kernel device.
Built-in Linux real-time kernel device, for analyzing the indoor sound detected, and based on the analysis results
Generate the reversed acoustic wave parameter for offsetting sound wave；
Specifically, using built-in Linux real-time kernel in built-in Linux real-time kernel device, it is preferred to use
Xenomai kernel.The characteristics of the application, is to reach low latency, Qiang Shi using Linux real-time kernel (such as Xenomai kernel)
When detect.
The sound wave generating means, for issuing reversed counteracting sound wave according to the reversed acoustic wave parameter for offsetting sound wave
To weaken indoor sound.
Specifically, acoustic wave parameter may include amplitude, phase, frequency and the wavelength of sound wave, dropped in the application using active
Make an uproar technology, after detecting indoor sound, using built-in Linux real-time kernel device, analyze indoor sound frequency,
Wavelength and phase, thus it is identical using the frequency wavelength that active noise reduction techniques result from indoor sound, but opposite in phase is reversed
Sound wave is offset, so that interference is generated with sound wave, so that the indoor sound that user hears significantly weakens or is completely counterbalanced by, to mention
The usage experience of high user, especially user offset indoor sound when user sleeps to improve the sleep quality of user.
The denoising device that the application proposes, when being preferred for user's sleep, for weakening the sound of snoring of user's sending, the application
The characteristics of be using built-in Linux real-time kernel device, utilize the low delay of built-in Linux real-time kernel device, strong
Real-time feature quickly offsets indoor sound, the sound of snoring of user's sending is especially balanced out, so that user will not be indoor
Sound wakes or reduces sleep quality up.
In some alternative embodiments, the denoising device based on built-in Linux real-time kernel that the application proposes, also
Include:
Sleep quality detection device for determining the sleep quality grade of user, and judges the sleep quality grade of user
Whether reach predetermined level, judging result is fed back into the built-in Linux real-time kernel device；
The built-in Linux real-time kernel device is also used to when the sleep quality grade of user reaches predetermined level,
The frequency and intensity for recording current indoor sound are not more than the current indoor sound in the frequency of the indoor sound detected later
The frequency of sound, and the intensity of the indoor sound detected later be not more than the current indoor sound intensity when, do not generate institute
State the reversed acoustic wave parameter for offsetting sound wave；
And/or the built-in Linux real-time kernel device, it is also used to not up to pre- in the sleep quality grade of user
If recording the frequency and intensity of current indoor sound when grade, it is not less than in the frequency of the indoor sound detected later described
The frequency of current indoor sound, and/or, the intensity of the indoor sound detected later is not less than the intensity of current indoor sound
When, generate the reversed acoustic wave parameter for offsetting sound wave.
Specifically, in the present embodiment, sleep quality detection device, which for example can be Intelligent bracelet etc., can detecte user
The device of physiological parameter (such as heartbeat, respiratory rate etc.), the sleep quality of active user is determined by the physiological parameter of user,
The sleep quality of user is graded to obtain sleep quality grade after the sleep quality for detecting user.If user's sleeps
Dormancy credit rating reaches predetermined level, shows that current indoor sound is in tolerance interval, and user will not feel well,
Therefore the frequency and intensity of current indoor sound are recorded as reference data, then when the indoor sound detected later
Frequency and intensity when being less than or equal to recorded reference data, then it is without carrying out active noise reduction, i.e., reversed without issuing
Sound wave is offset, also there is no need to generate the reversed acoustic wave parameter for offsetting sound wave.If the sleep quality grade of user is not achieved pre-
If grade, then illustrate current indoor sound be it is unacceptable, need to carry out active noise reduction issue it is reversed offset sound wave, then such as
The frequency or intensity of the indoor sound detected after fruit are greater than or equal to reference data, then illustrate to need to carry out active noise reduction,
Need to send reversed counteracting sound wave, it is therefore desirable to generate the reversed acoustic wave parameter for offsetting sound wave.
In some alternative embodiments, in the denoising device based on built-in Linux real-time kernel that the application proposes,
Built-in Linux real-time kernel device, is used for:
Determine the frequency and/or intensity of the indoor sound；
The frequency of sound is greater than first frequency threshold value indoors, and/or, the intensity of indoor sound is greater than the first intensity threshold
When, generate the reversed acoustic wave parameter for offsetting sound wave.
Specifically, in the present embodiment, corresponding threshold value is set for the frequency and intensity of sound in advance, generally,
Sound frequency is higher or intensity is bigger, then sound is easier wakes user, the application given threshold, thus guaranteeing user's sleep up
Energy is saved while quality.
In some alternative embodiments, further includes: sleep quality detection device；
The sleep quality detection device for determining the sleep quality grade of user, and judges the sleep quality of user
Whether grade reaches predetermined level, and judging result is fed back to the built-in Linux real-time kernel device；
The built-in Linux real-time kernel device is also used to, and adjusts the first frequency threshold according to the judging result
Value, and/or, first intensity threshold is adjusted according to the judging result.
Specifically, in the present embodiment, by sleep quality detection device, so that it is determined that in the state of current indoor sound
Whether user sleeps comfortable, if the frequency and intensity of current indoor sound do not reach transmitting first frequency threshold value and the last the first
Spend threshold value, but user sleep it is uncomfortable, then illustrate first frequency threshold value and the first intensity threshold setting it is unreasonable, in this situation
Under need to correct first frequency threshold value and the first intensity threshold, pass through dynamic regulation first frequency threshold value and first in the present embodiment
Intensity threshold guarantees the usage experience of user so that the personalization for realizing different user is adaptive.
In some alternative embodiments, the built-in Linux real-time kernel device, is used for:
When the sleep quality grade of user reaches predetermined level, if the first frequency threshold value is less than current indoor sound
Frequency, then set the first frequency threshold value be equal to current indoor sound frequency；And/or
When the sleep quality grade of user reaches predetermined level, if first intensity threshold is less than current indoor sound
Intensity, then set first intensity threshold be equal to current indoor sound intensity；And/or
When the sleep quality grade of user is not up to predetermined level, if the first frequency threshold value is greater than current indoor sound
The frequency of sound then sets the frequency that the first frequency threshold value is equal to current indoor sound；And/or
When the sleep quality grade of user reaches predetermined level, if first intensity threshold is greater than current indoor sound
Intensity, then set first intensity threshold be equal to current indoor sound intensity.
Specifically, being described in detail how built-in Linux real-time kernel according to judging result adjusts the in the present embodiment
One frequency threshold and the first intensity threshold.
In some alternative embodiments, the sleep quality detection device determines the sleep quality grade of user, comprising:
Obtain the turn number of user, the frequency that user makes a sound and/or the lasting duration that user makes a sound；According to user's
It turns over number, the frequency that user makes a sound and/or the lasting duration that user makes a sound and determines sleep quality of user etc.
Grade.
In some alternative embodiments, the built-in Linux real-time kernel device, for determining the indoor sound
Frequency, wavelength and phase, and the reversed sound wave for offsetting sound wave is generated according to frequency, wavelength and the phase of the indoor sound and is joined
Number；Wherein, the reversed acoustic wave parameter for offsetting sound wave includes reversed frequency, wavelength and the phase for offsetting sound wave, described
Reversed counteracting sound wave is identical with the frequency of the indoor sound, wavelength is identical and opposite in phase；
In some alternative embodiments, the indoor sound is the sound of snoring that user issues.
In some alternative embodiments, the denoising device based on built-in Linux real-time kernel that the application proposes is also
Including switching device, for controlling the opening and closing of the denoising device based on built-in Linux real-time kernel.
Embodiment 2:
In the present embodiment, using mini microphone matrix as sound detection device, mini microphone matrix sensing chamber
The interior sound of snoring is as indoor sound, and the sound of snoring that will test is sent to built-in Linux real-time kernel device, embedded
Linux real-time kernel device analysis goes out frequency, wavelength and the phase of the sound of snoring, and generates the reversed acoustic wave parameter for offsetting sound wave, really
Fixed reversed counteracting sound wave is identical as the frequency of the sound of snoring, wavelength is identical but opposite in phase, is then inserted into formula Linux real-time kernel device
It controls loudspeaker and issues reversed counteracting sound wave, to realize reducing or eliminating for the sound of snoring, and meanwhile it is true using sleep quality detection device
Determine the sleep quality grade of user, and then assesses the effect actually reached.
Sleep quality detection device specifically uses dynamic rating methods, and according to the turn of user, speaking etc. generates source of students
The frequency, duration etc. carry out sleep quality assessment, at the same record the intensity of event node (current time) user's sound of snoring, frequency,
Phase is as reference data.If predetermined level is not achieved in user's sleep quality grade, after built-in Linux real-time kernel
Device carries out noise reduction process to the sound of snoring more than reference data, emits reversed counteracting sound wave, if user's sleep quality grade
Reach predetermined level, then built-in Linux real-time kernel device is not processed the sound of snoring near the reference data later, i.e., not
Issue reversed counteracting sound wave.
Embodiment 3:
Referring to FIG. 2, the application also proposes a kind of noise-reduction method based on built-in Linux real-time kernel, comprising:
Detect indoor sound；
Specifically, when the method that the application proposes is preferred for user's sleep, therefore indoor sound can sleep for user
The sound of snoring that the sound in period, especially user issue.Indoor sound can be detected using microphone matrix and according to detecting
Indoor sound generates electric signal transmission and gives built-in Linux real-time kernel device, sound in preferably real-time uninterrupted sampling room.
The indoor sound detected is analyzed using built-in Linux real-time kernel device, and based on the analysis results
Generate the reversed acoustic wave parameter for offsetting sound wave；
According to the reversed acoustic wave parameter for offsetting sound wave, reversed sound wave of offsetting is issued to weaken indoor sound.
The noise-reduction method that the application proposes, when being preferred for user's sleep, for weakening the sound of snoring of user's sending, the application
The characteristics of be using built-in Linux real-time kernel device, utilize the low delay of built-in Linux real-time kernel device, strong
Real-time feature quickly offsets indoor sound, the sound of snoring of user's sending is especially balanced out, so that user will not be indoor
Sound wakes or reduces sleep quality up.
In some alternative embodiments, the noise-reduction method based on built-in Linux real-time kernel, further includes:
It determines the sleep quality grade of user, and judges whether the sleep quality grade of user reaches predetermined level, will sentence
Disconnected result feeds back to the built-in Linux real-time kernel device；
Using the built-in Linux real-time kernel device, when the sleep quality grade of user reaches predetermined level, note
The frequency and intensity for recording current indoor sound are not more than the current indoor sound in the frequency of the indoor sound detected later
Frequency, and when the intensity of the indoor sound detected later is not more than the intensity of the current indoor sound, do not generate described
The reversed acoustic wave parameter for offsetting sound wave；
It is not up to default in the sleep quality grade of user and/or using the built-in Linux real-time kernel device
When grade, the frequency and intensity of current indoor sound are recorded, are worked as in the frequency of the indoor sound detected later not less than described
The frequency of sound in cup, and/or, the intensity of the indoor sound detected later is not less than the intensity of the current indoor sound
When, generate the reversed acoustic wave parameter for offsetting sound wave.
In some alternative embodiments, using built-in Linux real-time kernel device to the indoor sound detected into
Row analysis, and the reversed acoustic wave parameter for offsetting sound wave is generated based on the analysis results, comprising:
Determine the frequency and/or intensity of the indoor sound；
The frequency of sound is greater than first frequency threshold value indoors, and/or, the intensity of indoor sound is greater than the first intensity threshold
When, generate the reversed acoustic wave parameter for offsetting sound wave.
In some alternative embodiments, further includes:
It determines the sleep quality grade of user, and judges whether the sleep quality grade of user reaches predetermined level, will sentence
Disconnected result feeds back to the built-in Linux real-time kernel device；
Using the built-in Linux real-time kernel device, the first frequency threshold value is adjusted according to the judging result,
And/or first intensity threshold is adjusted according to the judging result.
In some alternative embodiments, the first frequency threshold value is adjusted according to the judging result, comprising: in user
Sleep quality grade when reaching predetermined level, if the first frequency threshold value is less than the frequency of current indoor sound, set
The first frequency threshold value is equal to the frequency of current indoor sound；
In some alternative embodiments, first intensity threshold is adjusted according to the judging result, comprising: in user
Sleep quality grade when reaching predetermined level, if first intensity threshold is less than the intensity of current indoor sound, set
First intensity threshold is equal to the intensity of current indoor sound；
In some alternative embodiments, the first frequency threshold value is adjusted according to the judging result, comprising: with
When the sleep quality grade at family is not up to predetermined level, if the first frequency threshold value is greater than the frequency of current indoor sound,
Set the frequency that the first frequency threshold value is equal to current indoor sound；
In some alternative embodiments, adjusting first intensity threshold according to the judging result includes: in user
Sleep quality grade when reaching predetermined level, if first intensity threshold is greater than the intensity of current indoor sound, set
First intensity threshold is equal to the intensity of current indoor sound.
In some alternative embodiments, the sleep quality grade of user is determined, comprising: the turn number of user is obtained,
The lasting duration that the frequency and/or user that user makes a sound make a sound；According to the turn number of user, user's sending sound
The lasting duration that the frequency of sound and/or user make a sound determines the sleep quality grade of user.
In some alternative embodiments, using built-in Linux real-time kernel device to the indoor sound detected into
Row analysis, and the reversed acoustic wave parameter for offsetting sound wave is generated based on the analysis results, comprising: it is real-time using the built-in Linux
Core method determines frequency, wavelength and the phase of the indoor sound, and frequency, wavelength and the phase according to the indoor sound are raw
At the reversed acoustic wave parameter for offsetting sound wave；Wherein, the reversed acoustic wave parameter for offsetting sound wave includes the reversed counteracting sound wave
Frequency, wavelength and phase, it is described reversed to offset that sound wave is identical with the frequency of the indoor sound, wavelength is identical and phase phase
Instead；
In some alternative embodiments, the indoor sound is the sound of snoring that user issues.
The application utilizes the low delay of built-in Linux real-time kernel device, hard real time feature, quickly offsets indoor sound
Sound especially balances out the sound of snoring of user's sending, so that user will not wake or reduce sleep quality up by indoor sound,
It prevents because noise reduction causes the experience of user low not in time.
The foregoing is merely preferred embodiment of the present application, are not intended to limit this application, for the skill of this field
For art personnel, various changes and changes are possible in this application.Within the spirit and principles of this application, made any to repair
Change, equivalent replacement, improvement etc., should be included within the scope of protection of this application.
Claims (12)
1. a kind of denoising device based on built-in Linux real-time kernel characterized by comprising
Sound detection device, for detecting indoor sound；
Built-in Linux real-time kernel device for analyzing the indoor sound detected, and generates based on the analysis results
The reversed acoustic wave parameter for offsetting sound wave；
Sound wave generating means, for issuing reversed sound wave of offsetting to weaken room according to the reversed acoustic wave parameter for offsetting sound wave
Interior sound.
2. the denoising device according to claim 1 based on built-in Linux real-time kernel, which is characterized in that further include:
Sleep quality detection device, for determining the sleep quality grade of user, and judge user sleep quality grade whether
Reach predetermined level, judging result is fed back into the built-in Linux real-time kernel device；
The built-in Linux real-time kernel device is also used to when the sleep quality grade of user reaches predetermined level, record
The frequency and intensity of current indoor sound are not more than the current indoor sound in the frequency of the indoor sound detected later
Frequency, and when the intensity of the indoor sound detected later is not more than the intensity of the current indoor sound, it does not generate described anti-
To the acoustic wave parameter for offsetting sound wave；
And/or the built-in Linux real-time kernel device, it is also used to not up to default etc. in the sleep quality grade of user
When grade, the frequency and intensity of current indoor sound are recorded, it is current not less than described in the frequency of the indoor sound detected later
The frequency of indoor sound, and/or, it is raw when the intensity of the indoor sound detected later is not less than the intensity of current indoor sound
At the reversed acoustic wave parameter for offsetting sound wave.
3. the denoising device according to claim 1 based on built-in Linux real-time kernel, which is characterized in that
Built-in Linux real-time kernel device, for determining the frequency and/or intensity of the indoor sound, sound indoors
Frequency is greater than first frequency threshold value, and/or, when the intensity of indoor sound is greater than the first intensity threshold, generate reversed counteracting sound wave
Acoustic wave parameter；
And/or the built-in Linux real-time kernel device, for determining frequency, wavelength and the phase of the indoor sound,
And the reversed acoustic wave parameter for offsetting sound wave is generated according to frequency, wavelength and the phase of the indoor sound, wherein described reversely to support
The acoustic wave parameter of noise elimination wave includes reversed frequency, wavelength and the phase for offsetting sound wave, the reversed counteracting sound wave and described
The frequency of indoor sound is identical, wavelength is identical and opposite in phase；
And/or the indoor sound is the sound of snoring that user issues.
4. the denoising device according to claim 3 based on built-in Linux real-time kernel, which is characterized in that further include:
Sleep quality detection device；
The sleep quality detection device for determining the sleep quality grade of user, and judges the sleep quality grade of user
Whether reach predetermined level, judging result is fed back into the built-in Linux real-time kernel device；
The built-in Linux real-time kernel device is also used to, and adjusts the first frequency threshold value according to the judging result,
And/or first intensity threshold is adjusted according to the judging result.
5. the denoising device according to claim 4 based on built-in Linux real-time kernel, which is characterized in that described embedding
Enter formula Linux real-time kernel device, be used for:
When the sleep quality grade of user reaches predetermined level, if the first frequency threshold value is less than the frequency of current indoor sound
Rate then sets the frequency that the first frequency threshold value is equal to current indoor sound；And/or
When the sleep quality grade of user reaches predetermined level, if first intensity threshold is less than the strong of current indoor sound
Degree then sets the intensity that first intensity threshold is equal to current indoor sound；And/or
When the sleep quality grade of user is not up to predetermined level, if the first frequency threshold value is greater than current indoor sound
Frequency then sets the frequency that the first frequency threshold value is equal to current indoor sound；And/or
When the sleep quality grade of user reaches predetermined level, if first intensity threshold is greater than the strong of current indoor sound
Degree then sets the intensity that first intensity threshold is equal to current indoor sound.
6. according to the described in any item denoising devices based on built-in Linux real-time kernel of claim 2-5, feature exists
In,
The sleep quality detection dress, issues for obtaining the turn number of user, the frequency that user makes a sound and/or user
The lasting duration of sound；What the frequency and/or user made a sound according to the turn number of user, user made a sound continues
Duration determine the sleep quality grade of user.
7. a kind of noise-reduction method based on built-in Linux real-time kernel characterized by comprising
Detect indoor sound；
The indoor sound detected is analyzed using built-in Linux real-time kernel device, and is generated based on the analysis results
The reversed acoustic wave parameter for offsetting sound wave；
According to the reversed acoustic wave parameter for offsetting sound wave, reversed sound wave of offsetting is issued to weaken indoor sound.
8. the noise-reduction method according to claim 7 based on built-in Linux real-time kernel, which is characterized in that further include:
It determines the sleep quality grade of user, and judges whether the sleep quality grade of user reaches predetermined level, judgement is tied
Fruit feeds back to the built-in Linux real-time kernel device；
Using the built-in Linux real-time kernel device, when the sleep quality grade of user reaches predetermined level, record is worked as
The frequency and intensity of sound in cup are not more than the frequency of the current indoor sound in the frequency of the indoor sound detected later
Rate, and when the intensity of the indoor sound detected later is not more than the intensity of the current indoor sound, it does not generate described reversed
Offset the acoustic wave parameter of sound wave；
And/or using the built-in Linux real-time kernel device, predetermined level is not up in the sleep quality grade of user
When, the frequency and intensity of current indoor sound are recorded, work as cup not less than described in the frequency of the indoor sound detected later
The frequency of interior sound, and/or, when the intensity of the indoor sound detected later is not less than the intensity of the current indoor sound,
Generate the reversed acoustic wave parameter for offsetting sound wave.
9. the noise-reduction method according to claim 7 based on built-in Linux real-time kernel, which is characterized in that
The indoor sound detected is analyzed using built-in Linux real-time kernel device, and is generated based on the analysis results
The reversed acoustic wave parameter for offsetting sound wave, comprising: determine the frequency and/or intensity of the indoor sound, indoors the frequency of sound
Greater than first frequency threshold value, and/or, when the intensity of indoor sound is greater than the first intensity threshold, generate the reversed sound for offsetting sound wave
Wave parameter；
And/or the indoor sound detected is analyzed using built-in Linux real-time kernel device, and is tied according to analysis
Fruit generates the reversed acoustic wave parameter for offsetting sound wave, comprising: determines the interior using the built-in Linux real-time kernel method
Frequency, wavelength and the phase of sound generate the reversed sound wave for offsetting sound wave according to frequency, wavelength and the phase of the indoor sound
Parameter, wherein the reversed acoustic wave parameter for offsetting sound wave includes reversed frequency, wavelength and the phase for offsetting sound wave, institute
It states and reversed offsets that sound wave is identical with the frequency of the indoor sound, wavelength is identical and opposite in phase；
And/or the indoor sound is the sound of snoring that user issues.
10. the noise-reduction method according to claim 9 based on built-in Linux real-time kernel, which is characterized in that also wrap
It includes:
It determines the sleep quality grade of user, and judges whether the sleep quality grade of user reaches predetermined level, judgement is tied
Fruit feeds back to the built-in Linux real-time kernel device；
Using the built-in Linux real-time kernel device, according to the judging result adjusting first frequency threshold value, and/
Or, adjusting first intensity threshold according to the judging result.
11. the noise-reduction method according to claim 10 based on built-in Linux real-time kernel, which is characterized in that
The first frequency threshold value is adjusted according to the judging result, comprising:
When the sleep quality grade of user reaches predetermined level, if the first frequency threshold value is less than the frequency of current indoor sound
Rate then sets the frequency that the first frequency threshold value is equal to current indoor sound；
And/or；First intensity threshold is adjusted according to the judging result, comprising:
When the sleep quality grade of user reaches predetermined level, if first intensity threshold is less than the strong of current indoor sound
Degree then sets the intensity that first intensity threshold is equal to current indoor sound；And/or institute is adjusted according to the judging result
State first frequency threshold value, comprising:
When the sleep quality grade of user is not up to predetermined level, if the first frequency threshold value is greater than current indoor sound
Frequency then sets the frequency that the first frequency threshold value is equal to current indoor sound；And/or；It is adjusted according to the judging result
First intensity threshold includes:
When the sleep quality grade of user reaches predetermined level, if first intensity threshold is greater than the strong of current indoor sound
Degree then sets the intensity that first intensity threshold is equal to current indoor sound.
12. according to the described in any item noise-reduction methods based on built-in Linux real-time kernel of claim 8-11, feature exists
In,
Determine the sleep quality grade of user, comprising: obtain the turn number of user, the frequency and/or use that user makes a sound
The lasting duration that family makes a sound；The frequency and/or user made a sound according to the turn number of user, user makes a sound
Lasting duration determine the sleep quality grade of user.
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