CN111369964B - White noise sleep aiding method and device based on active noise reduction - Google Patents
White noise sleep aiding method and device based on active noise reduction Download PDFInfo
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- G—PHYSICS
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- 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
- 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
- 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
- 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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- 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
- G10K11/1787—General system configurations
- 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
- G10K2210/30—Means
- G10K2210/301—Computational
- G10K2210/3045—Multiple acoustic inputs, single acoustic output
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Abstract
The invention relates to a white noise sleep aiding method and device based on active noise reduction, which takes a white noise signal which is helpful for sleeping of a user as a comparison standard, and makes amplitude consistency judgment on the collected real-time noise signal at the human ear and preset white noise, once the two real-time amplitudes are consistent, the real-time noise at the human ear is determined to accord with the preset white noise condition, so that the user sleeps in the current environment; otherwise, the acquired real-time noise signal at the human ear and the surrounding environment noise signal are input into a secondary sound source signal generation model constructed in advance to obtain a secondary sound source signal which can be overlapped with the surrounding environment noise signal and is close to the human ear, and the amplitude of the finally acquired real-time noise signal at the human ear (the overlapping of the secondary sound source signal and the surrounding environment real-time noise signal) is ensured to be consistent with the amplitude of the white noise signal by continuously adjusting parameters in the secondary sound source signal generation model, so that the real-time noise at the human ear is determined to meet the preset white noise condition, and the user sleeps in the current environment.
Description
Technical Field
The invention relates to the field of white noise sleep aiding, in particular to a white noise sleep aiding method and device based on active noise reduction.
Background
In the current social state, the sleeping quality of people is drastically reduced due to the interference of living pressure, working pressure and external noise signals such as construction, running of home appliances, noisy people, etc., and users often have difficulty in falling asleep normally, seriously affecting the physical and mental health of people.
In order to help people solve the sleeping problem, various sleeping-aiding schemes are available on the market. For example, a user can achieve noise reduction and sleep assistance by wearing a passive sleep assistance measure such as an earmuff with noise reduction characteristic materials, or by generating external new noise by using special equipment, and then completely canceling the original environmental noise of the environment where the user sleeps by means of the external new noise, so as to expect to help the user fall asleep in the environment after noise cancellation.
Although passive sleep-aiding measures such as wearing earmuffs reduce the influence of external noise to a certain extent, if the devices are worn all the time in the sleep process, discomfort is necessarily caused to ears, external wounds are easily caused to the ears, and normal functions of the ears are easily influenced; although the problem of difficulty in falling asleep can be relieved to a certain extent by means of the external new noise generated by the special equipment, the external new noise generated by the existing special equipment completely counteracts the original environmental noise around the user, but the environment without noise is not beneficial to the normal falling asleep of the user.
Disclosure of Invention
The first technical problem to be solved by the invention is to provide a white noise sleep aiding method based on active noise reduction aiming at the prior art.
The second technical problem to be solved by the invention is to provide a white noise sleeping aid device based on active noise reduction aiming at the prior art.
The technical scheme adopted by the invention for solving the first technical problem is as follows: the white noise sleep aiding method based on active noise reduction is characterized by comprising the following steps of:
step 1, presetting a white noise signal; wherein the white noise signal is labeled s;
step 2, acquiring real-time noise signals at the ears of the user; wherein the real-time noise signal at the human ear is marked as e;
step 3, acquiring a surrounding environment real-time noise signal of a surrounding environment where a user is located; wherein the ambient real-time noise signal is labeled x;
step 4, when the acquired real-time noise signal amplitude at the human ear is consistent with the white noise signal amplitude, the real-time noise signal amplitude is not processed; otherwise, go to step 5;
step 5, constructing a secondary sound source signal generation model; the input signals of the secondary sound source signal generation model are real-time noise signals at the human ears and real-time noise signals of surrounding environment, and the output signals of the secondary sound source signal generation model are secondary sound source signals which can be played close to the human ears; the secondary sound source signal is marked as y, and the secondary sound source signal generation model is as follows:
y＝f(x,θ)；
wherein θ is a control parameter of an output signal of the secondary sound source signal generation model, and an adaptive dynamic adjustment formula of the control parameter θ ise is a real-time noise signal at the human ear, s is a real-time noise signal of the surrounding environment;
and 6, inputting the acquired real-time noise signals at the human ears and the surrounding environment real-time noise signals as input signals into the secondary sound source signal generation model, and dynamically adjusting the control parameters by continuous self-adaption until the amplitude of the acquired real-time noise signals at the human ears is consistent with the amplitude of the white noise signals, and not processing.
In the white noise sleeping aid based on active noise reduction, the function formula corresponding to the secondary sound source signal generation model is as follows:
y＝σ(W T x+b); wherein x= (X) t-n ,x t-(n-1) ,…,x t )，W＝(w n ,w n-1 ,…,w 0 )；
Wherein sigma (u) is a sigmoid function taking u as a variable,x represents a surrounding environment noise signal sequence of the surrounding environment where the user is located, which is collected before the time t; w represents a weight value variable sequence sequentially corresponding to each surrounding noise signal in the surrounding noise sequence X; weight value variable w i And the surrounding environmentNoise signal x t-i Correspondingly, i is more than or equal to 0 and less than or equal to n; b represents the offset value variable.
Further, the adaptive variable dynamic adjustment formula of the weight value in the weight value variable sequence W and the adaptive dynamic adjustment formula of the offset value variable b are as follows:
still further, in the white noise sleep aiding method based on active noise reduction, the white noise signal is gaussian white noise.
The invention solves the second technical problem by adopting the technical proposal that: white noise helps dormancy device based on initiative falls, its characterized in that includes:
the human ear noise acquisition device is arranged close to the user ear and is used for acquiring a human ear real-time noise signal of the user ear;
the surrounding environment noise signal acquisition device is used for acquiring a surrounding environment real-time noise signal of a surrounding environment where a user is located;
the central processing unit is respectively connected with the human ear noise acquisition device and the surrounding environment noise signal acquisition device and is used for storing preset white noise signals and not processing when judging that the acquired human ear real-time noise signal amplitude is consistent with the white noise signal amplitude; otherwise, constructing a secondary sound source signal generation model, inputting the acquired real-time noise signals of the human ears and the surrounding environment as input signals to the secondary sound source signal generation model, and dynamically adjusting control parameters in the secondary sound source signal generation model continuously and adaptively and sending out a secondary sound source signal playing instruction until the amplitude of the real-time noise signals of the human ears acquired again is judged to be consistent with the amplitude of the white noise signals; the input signals of the secondary sound source signal generation model are real-time noise signals at the human ears and real-time noise signals of surrounding environment, and the output signals of the secondary sound source signal generation model are secondary sound source signals which can be played close to the human ears; the secondary sound source signal is marked as y, and the secondary sound source signal generation model is as follows:
y＝f(x,θ)；
wherein θ is a control parameter of an output signal of the secondary sound source signal generation model, and an adaptive dynamic adjustment formula of the control parameter θ ise is a real-time noise signal at the human ear, s is a real-time noise signal of the surrounding environment;
and the secondary sound source signal playing device is connected with the central processing unit and is used for playing the secondary sound source signal at the position close to the ears of the user.
Further, in the white noise sleep aiding device based on active noise reduction, a function formula corresponding to the secondary sound source signal generation model is as follows:
y＝σ(W T x+b); wherein x= (X) t-n ,x t-(n-1) ,…,x t )，W＝(w n ,w n-1 ,…,w 0 )；
Wherein sigma (u) is a sigmoid function taking u as a variable,x represents a surrounding environment noise signal sequence of the surrounding environment where the user is located, which is collected before the time t; w represents a weight value variable sequence sequentially corresponding to each surrounding noise signal in the surrounding noise sequence X; weight value variable w i With ambient noise signal x t-i Correspondingly, i is more than or equal to 0 and less than or equal to n; b represents a bias value variable; the adaptive dynamic adjustment formula of the weight value variable in the weight value variable sequence W and the adaptive dynamic adjustment formula of the offset value variable b are as follows:
compared with the prior art, the invention has the advantages that:
firstly, white noise signals which are helpful for sleeping of users are used as standard signals for comparison, the acquired real-time noise signals at the ears of the users are subjected to amplitude consistency judgment with preset white noise, and once the real-time amplitudes of the acquired real-time noise signals and the preset white noise are consistent, the real-time noise at the ears of the users is considered to accord with the preset white noise condition, so that the users sleep in the current noise environment; otherwise, the acquired real-time noise signal at the human ear and the surrounding environment noise signal are input into a secondary sound source signal generation model constructed in advance to obtain a secondary sound source signal which can be overlapped with the surrounding environment noise signal and is played close to the human ear, and control parameters in the secondary sound source signal generation model are continuously adjusted to ensure that the amplitude of the finally acquired real-time noise signal at the human ear (actually the overlapping of the secondary sound source signal and the surrounding environment real-time noise signal) is consistent with the amplitude of the white noise signal, so that the real-time noise at the human ear is confirmed to meet the preset white noise condition, the combination of the white noise signal and active noise reduction is realized, and the user sleeps in the current noise environment.
In addition, the scheme of the invention only needs to place the noise collecting device at the ear of the user close to the ear of the user, the user can play the secondary sound source signal which can be overlapped with surrounding environment noise by the external secondary sound source signal playing device without wearing any equipment on the ear, and the harm of wearing equipment to the ear of the user is avoided.
Drawings
Fig. 1 is a schematic flow chart of a white noise sleep aiding method based on active noise reduction in an embodiment of the invention;
fig. 2 is a schematic diagram of a white noise sleep assisting device based on active noise reduction in an embodiment of the invention.
Detailed Description
The invention is described in further detail below with reference to the embodiments of the drawings.
Referring to fig. 1, the present embodiment provides a white noise sleep aiding method based on active noise reduction, which includes the following steps:
step 1, presetting a white noise signal; wherein the white noise signal is labeled s; of course, the white noise signal employed in the present embodiment is preferably gaussian white noise;
step 2, acquiring real-time noise signals at the ears of the user; wherein, the real-time noise signal at the human ear is marked as e;
step 3, acquiring a surrounding environment real-time noise signal of a surrounding environment where a user is located; wherein, the ambient real-time noise signal is marked as x;
step 4, when the acquired real-time noise signal amplitude of the human ear is consistent with the white noise signal amplitude, the fact that the human ear noise signal in the current state is consistent with the preset change condition of the white noise is indicated, namely, the human ear noise signal at the moment is also a white noise signal which is beneficial to helping the user to sleep, the human ear noise signal is not processed, and the user can sleep in the current real-time noise state of the human ear; otherwise, the step 5 is shifted to if the noise signal at the human ear is not a white noise signal which is favorable for helping the user to sleep;
step 5, constructing a secondary sound source signal generation model; the input signals of the secondary sound source signal generation model are real-time noise signals at the human ears and real-time noise signals of surrounding environment, and the output signals of the secondary sound source signal generation model are secondary sound source signals which can be played close to the human ears, namely the generated secondary sound source signals are used for being played close to the ears of the user; the secondary sound source signal is labeled y and the secondary sound source signal generation model is as follows:
y＝f(x,θ)；
wherein θ is a control parameter of an output signal of the generation model for the secondary sound source signal, and an adaptive dynamic adjustment formula of the control parameter θ ise is a real-time noise signal at the human ear, s is a real-time noise signal of the surrounding environment; in this embodiment, the function formula corresponding to the secondary sound source signal generation model is as follows:
y＝σ(W T x+b); wherein x= (X) t-n ,x t-(n-1) ,…,x t )，W＝(w n ,w n-1 ,…,w 0 )；
Wherein sigma (u) is a sigmoid function taking u as a variable,x represents a surrounding environment noise signal sequence of the surrounding environment where the user is located, which is collected before the time t; w represents a weight value variable sequence sequentially corresponding to each surrounding noise signal in the surrounding noise sequence X; weight value variable w i With ambient noise signal x t-i Correspondingly, i is more than or equal to 0 and less than or equal to n; b represents a bias value variable;
and 6, inputting the acquired real-time noise signals at the human ears and the surrounding environment real-time noise signals as input signals into a secondary sound source signal generation model, and dynamically adjusting control parameters through continuous self-adaption until the amplitude of the acquired real-time noise signals at the human ears is consistent with that of the white noise signals, and not processing.
In particular, since the collected real-time noise signal at the human ear is actually a superimposed signal of the ambient real-time noise signal and the secondary sound source signal; once the acquired (also called acquisition) real-time noise signal at the human ear of the user is inconsistent with the white noise in amplitude, the control parameter theta in the secondary sound source signal generation model is dynamically adjusted to expect that the amplitude of the real-time noise signal at the human ear, which is heard again by the user and formed after the output secondary sound source signal is overlapped with the surrounding environment real-time noise signal, is consistent with the preset white noise signal amplitude;
for example, at a certain moment, when the real-time noise signal at the ear of the user is not white noise, adjusting the control parameters in the secondary sound source signal generation model; since the function corresponding to the secondary sound source signal generation model in the present embodiment is y=σ (W T X+b), respectively dynamically adjusting the weight value variable and the bias value variable in the weight value variable sequence; the weight value variable w and the offset value variable b are control parameters of an output signal of the secondary sound source signal generation model, namely a specific form of the control parameter theta;
the adaptive dynamic adjustment formula for the weight variable in the weight variable sequence W and the adaptive dynamic adjustment formula for the offset variable b are as follows:
for example, at time T 1 When the corresponding weight value variable isThe corresponding bias value variable is +.>Weight value variable +.>And bias value variable +.>The secondary sound source signal controlled by these two control parameters is marked +.>
Once the real-time noise signal at the ear of the user acquired again is inconsistent with the preset white noise signal amplitude, starting dynamic adjustment for the two variables; then, the adjusted weight variable hypothesis becomesAnd the adjusted bias variable assumption becomes +.>Then there is the following formula:
correspondingly, the adjusted weight value variableBias value variable +.>The secondary sound source signal of the controlled output is marked +.>
Because the collected real-time noise signal at the human ear is actually the signal obtained by overlapping the surrounding environment real-time noise signal and the secondary sound source signal, if the collected real-time noise signal amplitude at the human ear is inconsistent with the preset white noise signal amplitude, the adjusted secondary sound source signal at the moment is illustratedStill not meeting the sound signal requirements for assisting the user in sleeping, and then again according to +.>And +.>The method of the method is respectively and dynamically adjusted until the acquired real-time noise signal amplitude of the human ear is consistent with the white noise signal amplitude, the method can not be used for preprocessing any more, and the user can effectively sleep in the current real-time noise state of the human ear.
Referring to fig. 2, this embodiment further provides a white noise sleep assisting device based on active noise reduction, where the white noise sleep assisting device includes:
the human ear noise acquisition device 1 is arranged close to the user ear and used for acquiring a human ear real-time noise signal of the user ear;
the surrounding environment noise signal acquisition device 2 is used for acquiring a surrounding environment real-time noise signal of the surrounding environment where the user is located;
the central processing unit 3 is connected with the human ear noise acquisition device 1 and the surrounding environment noise signal acquisition device 2 and is used for storing a preset white noise signal, and not processing when the acquired human ear real-time noise signal amplitude is judged to be consistent with the white noise signal amplitude; otherwise, constructing a secondary sound source signal generation model, inputting the acquired real-time noise signals of the human ears and the surrounding environment as input signals to the secondary sound source signal generation model, and dynamically adjusting control parameters in the secondary sound source signal generation model continuously and adaptively and sending out a secondary sound source signal playing instruction until the amplitude of the real-time noise signals of the human ears acquired again is consistent with the amplitude of the white noise signals, wherein the real-time noise signals are not processed; the input signals of the secondary sound source signal generation model are real-time noise signals at the human ears and real-time noise signals of surrounding environment, and the output signals of the secondary sound source signal generation model are secondary sound source signals which can be played close to the human ears; the secondary sound source signal is labeled y and the secondary sound source signal generation model is as follows:
y＝f(x,θ)；
wherein θ is a control parameter of an output signal of the secondary sound source signal generation model, and an adaptive dynamic adjustment formula of the control parameter θ ise is a real-time noise signal at the human ear, s is a real-time noise signal of the surrounding environment;
and the secondary sound source signal playing device 4 is connected with the central processing unit 3 and is used for playing the secondary sound source signal near the ears of the user. Of course, the ambient noise signal collection device 2 and the secondary sound source signal playback device 4 in this embodiment are both preferably disposed near the user's ears.
As for the specific working method of the white noise sleep aiding device, reference may be made to the description of the white noise sleep aiding method in this embodiment, and redundant description will not be made here.
Claims (4)
1. The white noise sleep aiding method based on active noise reduction is characterized by comprising the following steps of:
step 1, presetting a white noise signal; wherein the white noise signal is labeled s;
step 2, acquiring real-time noise signals at the ears of the user; wherein the real-time noise signal at the human ear is marked as e;
step 3, acquiring a surrounding environment real-time noise signal of a surrounding environment where a user is located; wherein the ambient real-time noise signal is labeled x;
step 4, when the acquired real-time noise signal amplitude at the human ear is consistent with the white noise signal amplitude, the real-time noise signal amplitude is not processed; otherwise, go to step 5;
step 5, constructing a secondary sound source signal generation model; the input signals of the secondary sound source signal generation model are real-time noise signals at the human ears and real-time noise signals of surrounding environment, and the output signals of the secondary sound source signal generation model are secondary sound source signals which can be played close to the human ears; the secondary sound source signal is marked as y, and the secondary sound source signal generation model is as follows:
y＝f(x,θ)；
wherein θ is a control parameter of an output signal of the secondary sound source signal generation model, and an adaptive dynamic adjustment formula of the control parameter θ ise is a real-time noise signal at the human ear, s is a real-time noise signal of the surrounding environment; the function formula corresponding to the secondary sound source signal generation model is as follows:
y＝σ(W T x+b); wherein x= (X) t-n ,x t-(n-1) ,…,x t )，W＝(w n ,w n-1 ,…,w 0 )；
Wherein sigma (u) is a sigmoid function taking u as a variable,x represents a surrounding environment noise signal sequence of the surrounding environment where the user is located, which is collected before the time t; w represents the signal of each surrounding noise in the surrounding noise sequence XA weight value variable sequence of numbers; weight value variable w i With ambient noise signal x t-i Correspondingly, i is more than or equal to 0 and less than or equal to n; b represents a bias value variable;
and 6, inputting the acquired real-time noise signals at the human ears and the surrounding environment real-time noise signals as input signals into the secondary sound source signal generation model, and dynamically adjusting the control parameters by continuous self-adaption until the amplitude of the acquired real-time noise signals at the human ears is consistent with the amplitude of the white noise signals, and not processing.
2. The white noise sleep aiding method based on active noise reduction according to claim 1, wherein the adaptive dynamic adjustment formula of the weight value variable in the weight value variable sequence W and the adaptive dynamic adjustment formula of the offset value variable b are as follows:
3. the white noise sleep aiding method based on active noise reduction according to claim 1 or 2, wherein the white noise signal is gaussian white noise.
4. White noise helps dormancy device based on initiative falls, its characterized in that includes:
the human ear noise acquisition device (1) is arranged close to the user ear and is used for acquiring a human ear real-time noise signal of the user ear;
the surrounding environment noise signal acquisition device (2) is used for acquiring a surrounding environment real-time noise signal of the surrounding environment where the user is located;
the central processing unit (3) is respectively connected with the human ear noise acquisition device (1) and the surrounding environment noise signal acquisition device (2) and is used for storing preset white noise signals and not processing when the acquired human ear real-time noise signal amplitude is judged to be consistent with the white noise signal amplitude; otherwise, constructing a secondary sound source signal generation model, inputting the acquired real-time noise signals of the human ears and the surrounding environment as input signals to the secondary sound source signal generation model, and dynamically adjusting control parameters in the secondary sound source signal generation model continuously and adaptively and sending out a secondary sound source signal playing instruction until the amplitude of the real-time noise signals of the human ears acquired again is judged to be consistent with the amplitude of the white noise signals; the input signals of the secondary sound source signal generation model are real-time noise signals at the human ears and real-time noise signals of surrounding environment, and the output signals of the secondary sound source signal generation model are secondary sound source signals which can be played close to the human ears; the secondary sound source signal is marked as y, and the secondary sound source signal generation model is as follows:
y＝f(x,θ)；
wherein θ is a control parameter of an output signal of the secondary sound source signal generation model, and an adaptive dynamic adjustment formula of the control parameter θ ise is a real-time noise signal at the human ear, s is a real-time noise signal of the surrounding environment; the function formula corresponding to the secondary sound source signal generation model is as follows:
y＝σ(W T x+b); wherein x= (X) t-n ,x t-(n-1) ,…,x t )，W＝(w n ,w n-1 ,…,w 0 )；
Wherein sigma (u) is a sigmoid function taking u as a variable,x represents a surrounding environment noise signal sequence of the surrounding environment where the user is located, which is collected before the time t; w represents a weight value variable sequence sequentially corresponding to each surrounding noise signal in the surrounding noise sequence X; weight value variable w i With ambient noise signal x t-i Correspondingly, i is more than or equal to 0 and less than or equal to n; b represents a bias value variable; self-adaptive dynamic adjustment formula of weight value variable in weight value variable sequence W and biasThe adaptive dynamic adjustment formula for the set value variable b is as follows:
and the secondary sound source signal playing device (4) is connected with the central processing unit (3) and is used for playing the secondary sound source signal at the position close to the ears of the user.
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