CN112948006A - Terminal equipment awakening method and device, terminal equipment and storage medium - Google Patents

Terminal equipment awakening method and device, terminal equipment and storage medium Download PDF

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CN112948006A
CN112948006A CN202110140872.8A CN202110140872A CN112948006A CN 112948006 A CN112948006 A CN 112948006A CN 202110140872 A CN202110140872 A CN 202110140872A CN 112948006 A CN112948006 A CN 112948006A
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interaction module
voice interaction
terminal equipment
voice
triggering
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郑洪明
孙天鹤
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Shenzhen Jiangyuan Technology Group Co ltd
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Shenzhen Jiangyuan Technology Group Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44—Arrangements for executing specific programs
    • G06F9/4401—Bootstrapping
    • G06F9/4418—Suspend and resume; Hibernate and awake
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
    • G06F1/26—Power supply means, e.g. regulation thereof
    • G06F1/32—Means for saving power
    • G06F1/3203—Power management, i.e. event-based initiation of a power-saving mode
    • G06F1/3234—Power saving characterised by the action undertaken
    • G06F1/329—Power saving characterised by the action undertaken by task scheduling
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/08—Speech classification or search
    • G10L15/14—Speech classification or search using statistical models, e.g. Hidden Markov Models [HMMs]
    • G10L15/142—Hidden Markov Models [HMMs]
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/08—Speech classification or search
    • G10L15/16—Speech classification or search using artificial neural networks
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/26—Speech to text systems
    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
    • G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00—Speech recognition
    • G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
    • G10L2015/223—Execution procedure of a spoken command

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  • Physics & Mathematics (AREA)
  • Computational Linguistics (AREA)
  • Acoustics & Sound (AREA)
  • Theoretical Computer Science (AREA)
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  • Human Computer Interaction (AREA)
  • Audiology, Speech & Language Pathology (AREA)
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Abstract

The embodiment of the invention discloses a method and a device for awakening terminal equipment, double-screen terminal equipment and a storage medium, wherein the method comprises the following steps: when a voice interaction module in the terminal equipment is in a dormant mode, acquiring voice data input by a user; recognizing the voice data through a preset built-in voice recognition algorithm to obtain target keyword information; and if the target keyword information is the same as the preset keyword information, triggering the voice interaction module to be interrupted, so that the voice interaction module is recovered from the dormant mode to the working mode, solving the problem of high standby power consumption of the equipment, and prolonging the service life of the terminal equipment by reducing unnecessary working consumption of the terminal equipment.

Description

Terminal equipment awakening method and device, terminal equipment and storage medium
Technical Field
The present invention relates to the field of computer technologies, and in particular, to a method and an apparatus for waking up a terminal device, and a storage medium.
Background
At present, a lot of terminal equipment with voice interaction, because the user uses the uncertainty of the time of the voice interaction of the terminal equipment, in order to guarantee the voice interaction of the user at any time in time, when the user does not have the voice interaction function for a long time, the terminal equipment can be in a dormant state, but a chip in a voice interaction module still keeps a working state, so that the whole power consumption of the terminal equipment is greatly increased, the same is the same, the electric quantity of a battery can be consumed, the standby time of the terminal equipment is too short, and the user experience is poor.
Disclosure of Invention
In view of the above problems, embodiments of the present invention are proposed to provide a terminal device wake-up method, apparatus, terminal device and storage medium that overcome or at least partially solve the above problems.
In a first aspect, an embodiment of the present invention provides a method for waking up a terminal device, where the method includes:
when a voice interaction module in the terminal equipment is in a dormant mode, acquiring voice data input by a user;
recognizing the voice data through a preset built-in voice recognition algorithm to obtain target keyword information;
and if the target keyword information is the same as the preset keyword information, triggering the voice interaction module to be interrupted, so that the voice interaction module is recovered from the sleep mode to the working mode.
Optionally, the method further comprises:
and triggering the voice interaction module to be interrupted in response to the fact that a user clicks a power key of the terminal equipment, so that the voice interaction module is recovered from the sleep mode to the working mode.
Optionally, the method further comprises:
and triggering the voice interaction module to be interrupted in response to the connection of the terminal equipment and the charging equipment, so that the voice interaction module is recovered from the sleep mode to the working mode.
Optionally, the method further comprises:
receiving a wake-up instruction provided by the voice interaction module, wherein the wake-up instruction comprises a wake-up value;
and awakening the terminal equipment according to the awakening value so that the terminal equipment is recovered to a working mode from the sleep mode.
In a second aspect, an embodiment of the present invention provides a terminal device wake-up apparatus, where the apparatus includes:
the acquisition unit is used for acquiring voice data input by a user when a voice interaction module in the terminal equipment is in a dormant mode;
the recognition unit is used for recognizing the voice data through a preset built-in voice recognition algorithm to obtain target keyword information;
and the first triggering unit is used for triggering the voice interaction module to be interrupted if the target keyword information is the same as the preset keyword information, so that the voice interaction module is recovered from the sleep mode to the working mode.
Optionally, the apparatus further comprises a second triggering module, the second triggering module is configured to:
and triggering the voice interaction module to be interrupted in response to the fact that a user clicks a power key of the terminal equipment, so that the voice interaction module is recovered from the sleep mode to the working mode.
Optionally, the apparatus further comprises a third triggering module, where the third triggering module is configured to:
and triggering the voice interaction module to be interrupted in response to the connection of the terminal equipment and the charging equipment, so that the voice interaction module is recovered from the sleep mode to the working mode.
Optionally, the apparatus further includes a fourth triggering module, where the fourth triggering module is configured to:
receiving a wake-up instruction provided by the voice interaction module, wherein the wake-up instruction comprises a wake-up value;
and awakening the terminal equipment according to the awakening value so that the terminal equipment is recovered to a working mode from the sleep mode.
In a third aspect, an embodiment of the present invention provides a dual-screen terminal device, including: at least one processor and memory;
the memory stores a computer program; the at least one processor executes the computer program stored in the memory to implement the terminal device wake-up method provided by the first aspect.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, where a computer program is stored in the computer-readable storage medium, and when the computer program is executed, the computer program implements the terminal device wake-up method provided in the first aspect.
The embodiment of the invention has the following advantages:
according to the terminal equipment awakening method and device, the double-screen terminal equipment and the storage medium, when a voice interaction module in the terminal equipment is in a dormant mode, voice data input by a user are collected; recognizing the voice data through a preset built-in voice recognition algorithm to obtain target keyword information; and if the target keyword information is the same as the preset keyword information, triggering the voice interaction module to be interrupted, so that the voice interaction module is recovered from the dormant mode to the working mode, solving the problem of high standby power consumption of the equipment, and prolonging the service life of the terminal equipment by reducing unnecessary working consumption of the terminal equipment.
Drawings
Fig. 1 is a flowchart illustrating steps of a method for waking up a terminal device according to an embodiment of the present invention;
fig. 2 is a block diagram of a terminal device wake-up apparatus according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a terminal device of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
An embodiment of the present invention provides a terminal device wake-up method, which is used for waking up a terminal device. The execution main body of the embodiment is a terminal device wake-up device, and is arranged on the terminal device.
Referring to fig. 1, a flowchart illustrating steps of an embodiment of a method for waking up a terminal device according to the present invention is shown, where the method specifically includes the following steps:
s101, when a voice interaction module in terminal equipment is in a sleep mode, acquiring voice data input by a user;
specifically, the embodiment of the present invention is applied to a terminal device, which includes a processor and a voice interaction module, and when a user temporarily does not use the device, the voice interaction module is completely put to sleep, and when the user uses voice interaction again, a microphone of the terminal device collects voice data input by the user and transmits the voice data to a processing chip, that is, a DSP chip, in the voice interaction module.
S102, recognizing the voice data through a preset built-in voice recognition algorithm to obtain target keyword information;
specifically, a DSP chip in the voice interaction module recognizes keywords in the voice data through a preset built-in voice recognition algorithm to obtain target keyword information.
The preset speech recognition algorithm comprises the following steps:
the first method comprises the following steps: dynamic Time Warping (Dynamic Time Warping) based algorithm:
in small vocabulary, isolated word (word) recognition systems, a number of improved DTW algorithms have also been proposed. For example, a method of identifying an isolated word (word) using a DTW algorithm of a frequency scale. The recognition accuracy is high.
And the second method comprises the following steps: method for Hidden Markov Model (HMM) based on parametric model
The algorithm is mainly used for a large-vocabulary speech recognition system, and needs more model training data, longer training and recognition time and larger memory space.
Generally, the continuous hidden markov model has a larger calculation amount than the discrete hidden markov model, but the recognition rate is high.
And the third is that: method for Vector Quantization (VQ) based on non-parametric model
The model training data, training and recognition time and working storage space required by the method are small.
The VQ algorithm does not perform as well as the HMM for large vocabulary speech recognition.
The method is well applied to a speech recognition system of the isolated characters (words).
In addition, there are algorithms and hybrid algorithms based on Artificial Neural Networks (ANN), such as ANN/HMM method, FSVQ/HMM method, and the like.
Further speech recognition algorithms are as follows:
convolutional neural networks, deep learning neural networks, BP neural networks, RBF neural networks, fuzzy clustering neural networks, improved T-S fuzzy neural networks, recurrent neural networks, wavelet neural networks, chaotic neural networks, wavelet chaotic neural networks, neural networks and genetic algorithms, dynamic optimization neural networks, K-means and neural network integration, combination of HMM and self-organizing neural networks, orthogonal basis function opposite propagation process neural networks, HMM and novel feedforward type neural networks, the method comprises the following steps of feature space random mapping, an SVM multi-class classification algorithm, feature parameter normalization, multi-band spectral subtraction, an independent perception theory, a segmented fuzzy clustering algorithm VQ-HMM, an optimized competition algorithm, a double-Gaussian GMM feature parameter, MFCC and GMM, MFCCs and PNN, SBC and SMM, MEL cepstrum coefficient and vector quantization, DTW, LPCC and MFCC and a hidden Markov model HMM.
The speech recognition has the following requirements on the characteristic parameters:
1. can convert speech signal into speech characteristic vector capable of being processed by computer
2. Can conform to or resemble the auditory perception characteristics of the human ear
3. Can enhance the voice signal and inhibit the non-voice signal to a certain extent
The following methods are commonly used for feature extraction:
(1) linear predictive analysis (Linear predictive TIONCoefficients, LPC)
The simulated human phonation principle is obtained by analyzing a model of the sound channel short pipe cascade. Assuming that the transfer function of the system is similar to an all-pole digital filter, 12-16 poles are typically used to characterize the speech signal. So for a speech signal at time n, the simulation is approximated by a linear combination of the signals at previous times. Sample values of the speech signal and sample values of the linear prediction are then calculated. And minimizing the Mean Square Error (MSE) between the two, the LPC can be obtained.
(2) Perceptual Linear prediction coefficient (PLP)
A feature parameter based on an auditory model. This parameter is a characteristic equivalent to LPC and is a set of coefficients of the all-pole model prediction polynomial. The difference is that PLP is based on human ear hearing, and is applied to spectral analysis through calculation, and an input voice signal is processed by a human ear hearing model to replace a time domain signal used by LPC, so that the method has the advantage of being beneficial to extracting anti-noise voice characteristics.
(3) Tandem and Bottleneck features
These are two types of features extracted using neural networks. The Tandem feature is obtained by reducing the dimensionality of the posterior probability vector of the corresponding category of the neural network output layer node and splicing the posterior probability vector with the features such as MFCC or PLP. The Bottleneck features are extracted by using a neural network with a special structure, the number of nodes of one hidden layer of the neural network is much smaller than that of nodes of other hidden layers, so that the neural network is called a Bottleneck (Bottleneck) layer, and the output features are the Bottleneck features.
(4) Filter bank based Fbank feature (Filterbank)
Also called as MFCC, the method for extracting the Fbank feature is equivalent to that MFCC removes the discrete cosine transform of the last step, and compared with the MFCC feature, the Fbank feature retains more original voice data.
(5) Linear Predictive Cepstrum Coefficient (LPCC)
Based on the important feature parameters of the vocal tract model. LPCC is the excitation information in the signal generation process that is discarded. The formants may then be characterized by more than ten cepstral coefficients. Good performance in speech recognition can be achieved.
(6) Mel Frequency Cepstrum Coefficient (MFCC)
Based on the auditory characteristics of human ears, the Mel frequency cepstrum frequency band division is divided equidistantly on Mel scale, and the logarithmic distribution relation between the scale value of frequency and the actual frequency is more in accordance with the auditory characteristics of human ears, so that the voice signal can be better represented. A person produces sound through the vocal tract whose shape determines what sound is made. The shape of the vocal tract includes tongue, teeth, etc. If we can know this shape exactly, we can describe the phoneme phone accurately. The shape of the vocal tract is shown in the envelope of the short-time power spectrum of speech. MFCC is a feature that accurately describes this envelope.
S103, if the target keyword information is the same as the preset keyword information, triggering the voice interaction module to be interrupted, and enabling the voice interaction module to be recovered to a working mode from the sleep mode.
Specifically, the voice interaction module judges target keyword information and keyword information of the pre-equipment, and if the target keyword information and the keyword information of the pre-equipment are consistent, the voice interaction module is triggered to be interrupted, so that the voice interaction module is recovered from the sleep mode to the working mode. When the user does not use the device temporarily, the voice interaction module is completely put into the sleep state, and only the function of generating interruption by the voice keyword is reserved. When a user uses voice interaction again, the dsp module identifies keywords in interactive human voice data acquired by the microphone through a built-in algorithm (the keywords are set in the dsp firmware in advance), and triggers equipment interruption and wakes up the equipment when the keywords are identified, so that the voice interaction module is applicable to quickly waking up the equipment through the keywords when the voice processing module is in a sleep state, and the voice module is enabled to recover to normal work, and the universality is high.
Furthermore, the method further comprises:
receiving a wake-up instruction provided by the voice interaction module, wherein the wake-up instruction comprises a wake-up value;
and awakening the terminal equipment according to the awakening value so that the terminal equipment is recovered to a working mode from the sleep mode.
Specifically, according to the terminal device wake-up method provided by the embodiment of the present invention, when a voice interaction module in the terminal device is in a sleep mode, voice data input by a user is collected; recognizing the voice data through a preset built-in voice recognition algorithm to obtain target keyword information; and if the target keyword information is the same as the preset keyword information, triggering the voice interaction module to be interrupted, so that the voice interaction module is recovered from the dormant mode to the working mode, solving the problem of high standby power consumption of the equipment, and prolonging the service life of the terminal equipment by reducing unnecessary working consumption of the terminal equipment.
The present invention further provides a supplementary description of the method for waking up a terminal device provided in the foregoing embodiment.
A method for waking up a terminal device according to another embodiment of the present invention further includes:
a1, responding to the user clicking the power key of the terminal device, triggering the voice interaction module to be interrupted, and enabling the voice interaction module to be recovered from the sleep mode to the working mode;
a2, receiving a wake-up instruction provided by the voice interaction module, wherein the wake-up instruction comprises a wake-up value;
and A3, waking up the terminal device according to the wake-up value, so that the terminal device is restored to the working mode from the sleep mode.
Specifically, a user clicks a power key of the terminal device to trigger the voice interaction module terminal, so that the terminal device is restored to a working mode from a sleep mode.
A method for waking up a terminal device according to another embodiment of the present invention further includes:
b1, responding to the connection of the terminal device to the charging device, triggering the interruption of the voice interaction module, and enabling the voice interaction module to recover from the sleep mode to the working mode;
b2, receiving a wake-up instruction provided by the voice interaction module, wherein the wake-up instruction comprises a wake-up value;
b3, according to the awakening value, awakening the terminal equipment, and enabling the terminal equipment to recover from the sleep mode to the working mode.
Specifically, the terminal device is connected with a charger or a computer and other devices to trigger the voice interaction module terminal, so that the terminal device is restored to the working mode from the sleep mode.
Specifically, 1, add interrupt registration code directly in the dsp driver code:
Figure BDA0002928539410000081
Figure BDA0002928539410000091
dsp driving interrupt handling functions, and responding to interrupt semaphore code
Figure BDA0002928539410000092
Figure BDA0002928539410000101
Figure BDA0002928539410000111
Figure BDA0002928539410000121
3. Handling of not waking up by voice using power button
Figure BDA0002928539410000122
4. Awakening treatment produced by charger or computer
Figure BDA0002928539410000123
Figure BDA0002928539410000131
When the user does not use the device, the dsp voice processing module is wholly dormant, when the user uses the device again (voice interaction or pressing a power key, or directly accessing charging), the software bottom layer receives an interrupt (an interrupt generated by the voice module or an interrupt generated by the power key), the bottom layer operates a reset signal of the dsp voice module, the voice module is recovered to a normal working mode from a dormant state, and meanwhile, a key value capable of waking up the system is sent to the device system to wake up the device.
It should be noted that, for simplicity of description, the method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the illustrated order of acts, as some steps may occur in other orders or concurrently in accordance with the embodiments of the present invention. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred and that no particular act is required to implement the invention.
According to the terminal equipment awakening method provided by the embodiment of the invention, when a voice interaction module in the terminal equipment is in a dormant mode, voice data input by a user are collected; recognizing the voice data through a preset built-in voice recognition algorithm to obtain target keyword information; and if the target keyword information is the same as the preset keyword information, triggering the voice interaction module to be interrupted, so that the voice interaction module is recovered from the dormant mode to the working mode, solving the problem of high standby power consumption of the equipment, and prolonging the service life of the terminal equipment by reducing unnecessary working consumption of the terminal equipment.
Another embodiment of the present invention provides a terminal device wake-up apparatus, configured to execute the terminal device wake-up method provided in the foregoing embodiment.
Referring to fig. 2, a block diagram of an embodiment of a terminal device wake-up apparatus of the present invention is shown, the apparatus includes an acquisition unit 201, an identification unit 202, and a first trigger unit 203, where:
the collecting unit 201 is configured to collect voice data input by a user when a voice interaction module in the terminal device is in a sleep mode;
the recognition unit 202 is configured to recognize the voice data by using a preset built-in voice recognition algorithm to obtain target keyword information;
the first triggering unit 203 is configured to trigger the voice interaction module to interrupt if the target keyword information is the same as the preset keyword information, so that the voice interaction module is restored from the sleep mode to the working mode.
According to the terminal equipment awakening device provided by the embodiment of the invention, when the voice interaction module in the terminal equipment is in the dormant mode, voice data input by a user are collected; recognizing the voice data through a preset built-in voice recognition algorithm to obtain target keyword information; and if the target keyword information is the same as the preset keyword information, triggering the voice interaction module to be interrupted, so that the voice interaction module is recovered from the dormant mode to the working mode, solving the problem of high standby power consumption of the equipment, and prolonging the service life of the terminal equipment by reducing unnecessary working consumption of the terminal equipment.
The present invention further provides a supplementary description of the terminal device wake-up apparatus provided in the foregoing embodiment.
Optionally, the apparatus further comprises a second triggering module, the second triggering module is configured to:
and triggering the voice interaction module to be interrupted in response to the fact that a user clicks a power key of the terminal equipment, so that the voice interaction module is recovered from the sleep mode to the working mode.
Optionally, the apparatus further comprises a third triggering module, where the third triggering module is configured to:
and triggering the voice interaction module to be interrupted in response to the connection of the terminal equipment and the charging equipment, so that the voice interaction module is recovered from the sleep mode to the working mode.
Optionally, the apparatus further includes a fourth triggering module, where the fourth triggering module is configured to:
receiving a wake-up instruction provided by the voice interaction module, wherein the wake-up instruction comprises a wake-up value;
and awakening the terminal equipment according to the awakening value so that the terminal equipment is recovered to a working mode from the sleep mode.
It should be noted that the respective implementable modes in the present embodiment may be implemented individually, or may be implemented in combination in any combination without conflict, and the present application is not limited thereto.
For the device embodiment, since it is basically similar to the method embodiment, the description is simple, and for the relevant points, refer to the partial description of the method embodiment.
According to the terminal equipment awakening device provided by the embodiment of the invention, when the voice interaction module in the terminal equipment is in the dormant mode, voice data input by a user are collected; recognizing the voice data through a preset built-in voice recognition algorithm to obtain target keyword information; and if the target keyword information is the same as the preset keyword information, triggering the voice interaction module to be interrupted, so that the voice interaction module is recovered from the dormant mode to the working mode, solving the problem of high standby power consumption of the equipment, and prolonging the service life of the terminal equipment by reducing unnecessary working consumption of the terminal equipment.
Still another embodiment of the present invention provides a terminal device, configured to execute the terminal device wake-up method provided in the foregoing embodiment.
Fig. 3 is a schematic structural diagram of a terminal device of the present invention, and as shown in fig. 3, the dual-screen terminal device includes: at least one processor 301 and memory 302;
the memory stores a computer program; the at least one processor executes the computer program stored in the memory to implement the terminal device wake-up method provided by the above embodiments.
In the terminal device provided by this embodiment, when the voice interaction module in the terminal device is in the sleep mode, voice data input by a user is collected; recognizing the voice data through a preset built-in voice recognition algorithm to obtain target keyword information; and if the target keyword information is the same as the preset keyword information, triggering the voice interaction module to be interrupted, so that the voice interaction module is recovered from the dormant mode to the working mode, solving the problem of high standby power consumption of the equipment, and prolonging the service life of the terminal equipment by reducing unnecessary working consumption of the terminal equipment.
Yet another embodiment of the present application provides a computer-readable storage medium, in which a computer program is stored, and when the computer program is executed, the method for waking up a terminal device provided in any of the above embodiments is implemented.
According to the computer-readable storage medium of the embodiment, when the voice interaction module in the terminal device is in the sleep mode, voice data input by a user is collected; recognizing the voice data through a preset built-in voice recognition algorithm to obtain target keyword information; and if the target keyword information is the same as the preset keyword information, triggering the voice interaction module to be interrupted, so that the voice interaction module is recovered from the dormant mode to the working mode, solving the problem of high standby power consumption of the equipment, and prolonging the service life of the terminal equipment by reducing unnecessary working consumption of the terminal equipment.
The embodiments in the present specification are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, apparatus, or computer program product. Accordingly, embodiments of the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
While preferred embodiments of the present invention have been described, additional variations and modifications of these embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the embodiments of the invention.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or electronic device that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or electronic device. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or electronic device that comprises the element.

Claims (10)

1. A terminal device wake-up method is characterized by comprising the following steps:
when a voice interaction module in the terminal equipment is in a dormant mode, acquiring voice data input by a user;
recognizing the voice data through a preset built-in voice recognition algorithm to obtain target keyword information;
and if the target keyword information is the same as the preset keyword information, triggering the voice interaction module to be interrupted, so that the voice interaction module is recovered from the sleep mode to the working mode.
2. The method of claim 1, further comprising:
and triggering the voice interaction module to be interrupted in response to the fact that a user clicks a power key of the terminal equipment, so that the voice interaction module is recovered from the sleep mode to the working mode.
3. The method of claim 1, further comprising:
and triggering the voice interaction module to be interrupted in response to the connection of the terminal equipment and the charging equipment, so that the voice interaction module is recovered from the sleep mode to the working mode.
4. The method according to any one of claims 1-3, further comprising:
receiving a wake-up instruction provided by the voice interaction module, wherein the wake-up instruction comprises a wake-up value;
and awakening the terminal equipment according to the awakening value so that the terminal equipment is recovered to a working mode from the sleep mode.
5. An apparatus for waking up a terminal device, the apparatus comprising:
the acquisition unit is used for acquiring voice data input by a user when a voice interaction module in the terminal equipment is in a dormant mode;
the recognition unit is used for recognizing the voice data through a preset built-in voice recognition algorithm to obtain target keyword information;
and the first triggering unit is used for triggering the voice interaction module to be interrupted if the target keyword information is the same as the preset keyword information, so that the voice interaction module is recovered from the sleep mode to the working mode.
6. The apparatus of claim 5, further comprising a second triggering module configured to:
and triggering the voice interaction module to be interrupted in response to the fact that a user clicks a power key of the terminal equipment, so that the voice interaction module is recovered from the sleep mode to the working mode.
7. The apparatus of claim 5, further comprising a third triggering module configured to:
and triggering the voice interaction module to be interrupted in response to the connection of the terminal equipment and the charging equipment, so that the voice interaction module is recovered from the sleep mode to the working mode.
8. The apparatus according to any one of claims 5-7, wherein the apparatus further comprises a fourth triggering module, the fourth triggering module configured to:
receiving a wake-up instruction provided by the voice interaction module, wherein the wake-up instruction comprises a wake-up value;
and awakening the terminal equipment according to the awakening value so that the terminal equipment is recovered to a working mode from the sleep mode.
9. A dual-screen terminal device, comprising: at least one processor and memory;
the memory stores a computer program; the at least one processor executes the memory-stored computer program to implement the terminal device wake-up method of any of claims 1-4.
10. A computer-readable storage medium, characterized in that a computer program is stored in the computer-readable storage medium, which computer program, when executed, implements the terminal device wake-up method of any one of claims 1-4.
CN202110140872.8A 2021-02-02 2021-02-02 Terminal equipment awakening method and device, terminal equipment and storage medium Pending CN112948006A (en)

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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160171975A1 (en) * 2014-12-11 2016-06-16 Mediatek Inc. Voice wakeup detecting device and method
CN110968353A (en) * 2019-12-06 2020-04-07 惠州Tcl移动通信有限公司 Central processing unit awakening method and device, voice processor and user equipment

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160171975A1 (en) * 2014-12-11 2016-06-16 Mediatek Inc. Voice wakeup detecting device and method
CN110968353A (en) * 2019-12-06 2020-04-07 惠州Tcl移动通信有限公司 Central processing unit awakening method and device, voice processor and user equipment

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