CN108922523A - Position indicating method, device, storage medium and electronic equipment - Google Patents
Position indicating method, device, storage medium and electronic equipment Download PDFInfo
- Publication number
- CN108922523A CN108922523A CN201810648187.4A CN201810648187A CN108922523A CN 108922523 A CN108922523 A CN 108922523A CN 201810648187 A CN201810648187 A CN 201810648187A CN 108922523 A CN108922523 A CN 108922523A
- Authority
- CN
- China
- Prior art keywords
- noise
- speech signal
- signal
- vocal print
- electronic equipment
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 46
- 238000003860 storage Methods 0.000 title claims abstract description 17
- 230000001755 vocal effect Effects 0.000 claims description 105
- 238000004458 analytical method Methods 0.000 claims description 69
- 238000012549 training Methods 0.000 claims description 24
- 238000004590 computer program Methods 0.000 claims description 15
- 230000009467 reduction Effects 0.000 claims description 9
- 230000005055 memory storage Effects 0.000 claims 1
- 238000004422 calculation algorithm Methods 0.000 description 36
- 238000010586 diagram Methods 0.000 description 10
- 230000008569 process Effects 0.000 description 10
- 238000004088 simulation Methods 0.000 description 10
- 230000006870 function Effects 0.000 description 9
- 238000013528 artificial neural network Methods 0.000 description 6
- 238000010801 machine learning Methods 0.000 description 6
- 210000000056 organ Anatomy 0.000 description 6
- 238000012545 processing Methods 0.000 description 6
- 238000011946 reduction process Methods 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 4
- 230000005236 sound signal Effects 0.000 description 4
- 238000004364 calculation method Methods 0.000 description 3
- 241000209140 Triticum Species 0.000 description 2
- 235000021307 Triticum Nutrition 0.000 description 2
- 230000008859 change Effects 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- 238000013527 convolutional neural network Methods 0.000 description 2
- 238000003066 decision tree Methods 0.000 description 2
- 238000009826 distribution Methods 0.000 description 2
- 230000005611 electricity Effects 0.000 description 2
- 239000004744 fabric Substances 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 210000000088 lip Anatomy 0.000 description 2
- 239000004973 liquid crystal related substance Substances 0.000 description 2
- 210000000214 mouth Anatomy 0.000 description 2
- 210000003205 muscle Anatomy 0.000 description 2
- 210000003928 nasal cavity Anatomy 0.000 description 2
- 210000003254 palate Anatomy 0.000 description 2
- 210000003800 pharynx Anatomy 0.000 description 2
- 230000000306 recurrent effect Effects 0.000 description 2
- 210000001584 soft palate Anatomy 0.000 description 2
- 210000002105 tongue Anatomy 0.000 description 2
- 210000000515 tooth Anatomy 0.000 description 2
- 206010061218 Inflammation Diseases 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 230000006399 behavior Effects 0.000 description 1
- 210000004556 brain Anatomy 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 238000000151 deposition Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000007717 exclusion Effects 0.000 description 1
- 230000004054 inflammatory process Effects 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
Classifications
-
- 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
- G10L15/20—Speech recognition techniques specially adapted for robustness in adverse environments, e.g. in noise, of stress induced speech
-
- 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
-
- G10L21/0202—
-
- 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
- G10L21/00—Speech or voice signal processing techniques to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility
- G10L21/04—Time compression or expansion
- G10L21/057—Time compression or expansion for improving intelligibility
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Computational Linguistics (AREA)
- Health & Medical Sciences (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- Acoustics & Sound (AREA)
- Multimedia (AREA)
- Quality & Reliability (AREA)
- Signal Processing (AREA)
- Telephone Function (AREA)
- Soundproofing, Sound Blocking, And Sound Damping (AREA)
Abstract
The embodiment of the present application discloses a kind of position indicating method, device, storage medium and electronic equipment, wherein the electronic equipment in the embodiment of the present application can obtain the history noise signal of corresponding Noisy Speech Signal when receiving Noisy Speech Signal.According to the history noise signal got, the noise signal of Noisy Speech Signal reception period is obtained.The noise signal that will acquire carries out antiphase with Noisy Speech Signal and is superimposed, and obtains noise-reduced speech signal.Obtain that noise-reduced speech signal includes is instructions to be performed, and it is instructions to be performed for prompt for trigger position instruction when, the prompt operation of prompt current location is executed according to predetermined manner.The success rate that triggering electronic equipment carries out position indicating can be improved in this programme.
Description
Technical field
This application involves technical field of electronic equipment, and in particular to a kind of position indicating method, device, storage medium and electricity
Sub- equipment.
Background technique
Currently, with the development of technology, it is man-machine between interactive mode become more and more abundant.In the related technology, user
The electronic equipments such as mobile phone, tablet computer can be controlled by voice, i.e., electronic equipment is in the language for receiving user's sending
After sound signal, which can be parsed, obtain control instruction and execute.It is set for example, can not find electronics in user
When standby, electronic equipment can carry out position indicating according to the voice signal of user, and guidance user finds electronic equipment.However, working as
When environment locating for electronic equipment is more noisy, electronic equipment is often difficult to isolate the voice letter of user from noisy environment
Number, also can not just position indicating be carried out to user.
Summary of the invention
The embodiment of the present application provides a kind of position indicating method, device, storage medium and electronic equipment, can be improved touching
Send out the success rate that electronic equipment carries out position indicating.
In a first aspect, the embodiment of the present application provides a kind of position indicating method, including：
When receiving Noisy Speech Signal, the history noise signal of the corresponding Noisy Speech Signal is obtained；
According to the history noise signal, the noise signal of the Noisy Speech Signal reception period is obtained；
The noise signal is carried out antiphase with the Noisy Speech Signal to be superimposed, obtains noise-reduced speech signal；
Obtain that the noise-reduced speech signal includes is instructions to be performed, and described instructions to be performed for for trigger position
When the instruction of prompt, operated according to the prompt that predetermined manner executes prompt current location.
Second aspect, the embodiment of the present application provide a kind of position prompt device, including：
First obtains module, for obtaining going through for the corresponding Noisy Speech Signal when receiving Noisy Speech Signal
History noise signal；
Second obtains module, for obtaining the Noisy Speech Signal reception period according to the history noise signal
Noise signal；
Noise reduction module is superimposed for the noise signal to be carried out antiphase with the Noisy Speech Signal, obtains noise reduction
Voice signal；
Cue module, it is instructions to be performed for obtain that the noise-reduced speech signal includes, and described instructions to be performed
For prompted for trigger position instruction when, according to predetermined manner execute prompt current location prompt operate.
The third aspect, the embodiment of the present application provide a kind of storage medium, are stored thereon with computer program, when the meter
When calculation machine program is run on computers, so that the computer is executed as in position indicating method provided by the embodiments of the present application
The step of.
Fourth aspect, the embodiment of the present application provide a kind of electronic equipment, including processor and memory, the memory
There is computer program, the processor is provided by calling the computer program for executing the application any embodiment such as
Position indicating method in step.
In the embodiment of the present application, electronic equipment can obtain corresponding noisy speech letter when receiving Noisy Speech Signal
Number history noise signal.According to the history noise signal got, the noise signal of Noisy Speech Signal reception period is obtained.
The noise signal that will acquire carries out antiphase with Noisy Speech Signal and is superimposed, and obtains noise-reduced speech signal.Obtain reducing noise of voice
Signal includes instructions to be performed, and it is instructions to be performed for prompted for trigger position instruction when, held according to predetermined manner
The prompt operation of row prompt current location.In the present solution, electronic equipment can receive noisy speech letter in a noisy environment
Number when, to Noisy Speech Signal carry out noise reduction process, obtain noise-reduced speech signal, execute prompt further according to the noise-reduced speech signal
The prompt of current location operates, and avoids noise jamming, and the success rate that triggering electronic equipment carries out position indicating can be improved.
Detailed description of the invention
In order to more clearly explain the technical solutions in the embodiments of the present application, make required in being described below to embodiment
Attached drawing is briefly described, it should be apparent that, the drawings in the following description are only some examples of the present application, for
For those skilled in the art, without creative efforts, it can also be obtained according to these attached drawings other attached
Figure.
Fig. 1 is a flow diagram of position indicating method provided by the embodiments of the present application.
Fig. 2 is the schematic diagram of the set interface of prompting mode provided by the embodiments of the present application.
Fig. 3 is the exemplary diagram that the prompt operation that electronic equipment executes prompt current location is triggered in the embodiment of the present application.
Fig. 4 is the exemplary diagram that electronic equipment executes prompt operation in the embodiment of the present application.
Fig. 5 is another flow diagram of position indicating method provided by the embodiments of the present application.
Fig. 6 is a structural schematic diagram of position prompt device provided by the embodiments of the present application.
Fig. 7 is a structural schematic diagram of electronic equipment provided by the embodiments of the present application.
Fig. 8 is another structural schematic diagram of electronic equipment provided by the embodiments of the present application.
Specific embodiment
Schema is please referred to, wherein identical component symbol represents identical component, the principle of the application is to implement one
It is illustrated in computing environment appropriate.The following description be based on illustrated by the application specific embodiment, should not be by
It is considered as limitation the application other specific embodiments not detailed herein.
In the following description, the specific embodiment of the application will refer to the step as performed by one or multi-section computer
And symbol illustrates, unless otherwise stating clearly.Therefore, these steps and operation will have to mention for several times is executed by computer, this paper institute
The computer execution of finger includes by representing with the computer processing unit of the electronic signal of the data in a structuring pattern
Operation.This operation is converted at the data or the position being maintained in the memory system of the computer, reconfigurable
Or in addition change the running of the computer in mode known to the tester of this field.The maintained data structure of the data
For the provider location of the memory, there is the specific feature as defined in the data format.But the application principle is with above-mentioned text
Word illustrates that be not represented as a kind of limitation, this field tester will appreciate that plurality of step and behaviour as described below
Also it may be implemented in hardware.
Term as used herein " module " can regard the software object to execute in the arithmetic system as.It is as described herein
Different components, module, engine and service can be regarded as the objective for implementation in the arithmetic system.And device as described herein and side
Method can be implemented in the form of software, can also be implemented on hardware certainly, within the application protection scope.
Term " first ", " second " and " third " in the application etc. are for distinguishing different objects, rather than for retouching
State particular order.In addition, term " includes " and " having " and their any deformations, it is intended that cover and non-exclusive include.
Such as contain series of steps or module process, method, system, product or equipment be not limited to listed step or
Module, but some embodiments further include the steps that not listing or module or some embodiments further include for these processes,
Method, product or equipment intrinsic other steps or module.
Referenced herein " embodiment " is it is meant that a particular feature, structure, or characteristic described can wrap in conjunction with the embodiments
It is contained at least one embodiment of the application.Each position in the description occur the phrase might not each mean it is identical
Embodiment, nor the independent or alternative embodiment with other embodiments mutual exclusion.Those skilled in the art explicitly and
Implicitly understand, embodiment described herein can be combined with other embodiments.
The embodiment of the present application provides a kind of position indicating method, and the executing subject of the position indicating method can be the application
The position prompt device that embodiment provides, or it is integrated with the electronic equipment of the position prompt device, wherein the position indicating fills
Setting can be realized by the way of hardware or software.Wherein, electronic equipment can be smart phone, tablet computer, palm electricity
The equipment such as brain, laptop or desktop computer.
Fig. 1 is please referred to, Fig. 1 is the flow diagram of position indicating method provided by the embodiments of the present application.As shown in Figure 1,
The process of position indicating method provided by the embodiments of the present application can be as follows：
101, when receiving Noisy Speech Signal, the history noise signal of corresponding Noisy Speech Signal is obtained.
It is formed it should be noted that Noisy Speech Signal is combined by voice signal and ambient noise signal, electronic equipment can
To receive the Noisy Speech Signal of input in a number of different ways, for example, in the non-External microphone of electronic equipment, electronics
Equipment can be acquired external voice by built-in microphone, using collected Noisy Speech Signal as receiving
Noisy Speech Signal；For another example, when electronic equipment is circumscribed with microphone, electronic equipment can pass through external microphone pair
External voice is acquired, using collected Noisy Speech Signal as the Noisy Speech Signal received.
Wherein, electronic equipment is by microphone, (microphone herein can be built-in microphone, be also possible to external wheat
Gram wind) when receiving the Noisy Speech Signal of input, if microphone is simulation microphone, the noisy speech letter of simulation will be collected
Number, electronic equipment needs sample the Noisy Speech Signal of simulation at this time, and the Noisy Speech Signal of simulation is converted to
Digitized Noisy Speech Signal, for example, can be sampled with the sample frequency of 16KHz；In addition, if microphone is digital microphone
Wind, then electronic equipment will directly receive digitized Noisy Speech Signal by digital microphone, without being converted.
It is easily understood that when there is enunciator to issue voice signal in electronic equipment local environment, electronic equipment just meeting
Noisy Speech Signal is received, and working as does not have enunciator to issue voice signal in environment locating for electronic equipment, then electronics is set
It is standby only to receive noise signal.Wherein, the Noisy Speech Signal and noise signal that electronic equipment receives caching.
In the embodiment of the present application, electronic equipment is when receiving Noisy Speech Signal, when with the starting of Noisy Speech Signal
Carving is finish time, obtains and receives that receiving before Noisy Speech Signal, (preset duration can be by this field for preset duration
Technical staff takes desired value according to actual needs, and the embodiment of the present application is not particularly limited this, for example, can be set to
History noise signal 500ms), using the noise signal as the history noise signal of corresponding Noisy Speech Signal.
For example, preset duration is configured as 500 milliseconds, the initial time of Noisy Speech Signal is on 06 12nd, 2,018 11
When 04 divide 56 seconds 500 milliseconds again, then 04 divide 56 seconds on 06 12nd, 2018 when electronic equipment obtains 2018 06 month 12 days 11
When 11 04 divide 56 seconds it is caching during 500 milliseconds again, when a length of 500 milliseconds of noise signal, using the noise signal as correspondence
The history noise signal of Noisy Speech Signal.
102, according to the history noise signal got, the noise signal of Noisy Speech Signal reception period is obtained.
Wherein, electronic equipment is after getting the history noise signal of corresponding Noisy Speech Signal, according to what is got
History noise signal further gets the noise signal of Noisy Speech Signal reception period.
For example, electronic equipment can be according to the history noise signal got, to predict Noisy Speech Signal reception period
Noise profile, to obtain the noise signal of Noisy Speech Signal reception period.
For another example, it is contemplated that the stability of noise, the noise variation in continuous time is usually smaller, and electronic equipment can incite somebody to action
Get noise signal of the history noise signal as Noisy Speech Signal reception period, wherein if history noise signal when
The long duration for being greater than Noisy Speech Signal, then can intercept making an uproar for duration identical as Noisy Speech Signal from history noise signal
Acoustical signal, the noise signal as Noisy Speech Signal reception period；If the duration of history noise signal is believed less than noisy speech
Number duration, then history noise signal can be replicated, splice multiple history noise signals with obtain and noisy speech believe
The noise signal of number identical duration, the noise signal as Noisy Speech Signal reception period.
103, the noise signal that will acquire carries out antiphase with Noisy Speech Signal and is superimposed, and obtains noise-reduced speech signal.
Wherein, after the noise signal for getting Noisy Speech Signal reception period, electronic equipment is first to getting
Noise signal carry out reverse phase processing, then reverse phase treated noise signal is overlapped with Noisy Speech Signal, has been eliminated
Noise section in Noisy Speech Signal, obtains noise-reduced speech signal.
104, what acquisition noise-reduced speech signal included is instructions to be performed, and instructions to be performed for for trigger position prompt
Instruction when, according to predetermined manner execute prompt current location prompt operate.
Wherein, after obtaining noise-reduced speech signal, electronic equipment judgement is local to whether there is speech analysis engine, if depositing
Then noise-reduced speech signal is input to local speech analysis engine and carries out speech analysis by electronic equipment, obtains speech analysis
Text.Wherein, speech analysis is carried out to voice signal, that is to say voice signal from " audio " to the conversion process of " text ".
In addition, electronic equipment can be in the following way from multiple voices local there are when multiple speech analysis engines
A speech analysis engine is chosen in analytics engine, and speech analysis is carried out to noise-reduced speech signal：
First, electronic equipment can randomly select a speech analysis engine from local multiple speech analysis engines,
Speech analysis is carried out to the noise-reduced speech signal received.
Second, electronic equipment can be chosen from multiple speech analysis engines and be parsed into the highest speech analysis of power and draw
It holds up, speech analysis is carried out to the noise-reduced speech signal received.
Third, electronic equipment can choose the parsing shortest speech analysis engine of duration from multiple speech analysis engines,
Speech analysis is carried out to the noise-reduced speech signal received.
Fourth, electronic equipment can also from multiple speech analysis engines, choose be parsed into power reach default success rate,
And it parses duration shortest speech analysis engine and speech analysis is carried out to the noise-reduced speech signal received.
It should be noted that those skilled in the art can also carry out speech analysis engine according to mode not listed above
Selection, or can in conjunction with multiple speech analysis engines to noise-reduced speech signal carry out speech analysis, for example, electronic equipment can
To carry out speech analysis to noise-reduced speech signal by two speech analysis engines simultaneously, and obtained in two speech analysis engines
Speech analysis text it is identical when, using the identical speech analysis text as the speech analysis text of noise-reduced speech signal；Again
For example, electronic equipment can carry out speech analysis to noise-reduced speech signal by least three speech analysis engines, and wherein
When the speech analysis text that at least two speech analysis engines obtain is identical, using the identical speech analysis text as noise reduction language
The speech analysis text of sound signal.
After parsing obtains the speech analysis text of noise-reduced speech signal, electronic equipment is further from speech analysis text
What acquisition noise-reduced speech signal included in this is instructions to be performed.
Wherein, electronic equipment is previously stored with multiple instruction keyword, and single instruction keyword or multiple instruction are crucial
The corresponding instruction of word combination.The speech analysis text that analytically obtains obtain that noise-reduced speech signal includes it is instructions to be performed
When, electronic equipment carries out participle operation to aforementioned voice parsing text first, obtains the word sequence of corresponding speech analysis text, should
It include multiple words in word sequence.
After the word sequence for obtaining corresponding speech analysis text, electronic equipment carries out of instruction keyword to word sequence
Match, that is to say the instruction keyword found out in word sequence, so that matching obtains corresponding instruction, the instruction that matching is obtained is made
For the instructions to be performed of noise-reduced speech signal.Wherein, the matched and searched for instructing keyword includes exact matching and/or fuzzy
Match.
After obtaining noise-reduced speech signal and including instructions to be performed, if recognizing instructions to be performed for for trigger position
The instruction of prompt is then operated according to the prompt that predetermined manner executes prompt current location.For example, the finger for trigger position prompt
Enable corresponding instruction keyword combination " little Ou "+" you "+" where ", when user says " little Ou you where ", electronic equipment
It will determine the instruction instructions to be performed to prompt for trigger position that " little Ou you where " includes.
Wherein, the mode that electronic equipment executes prompt operation can also be carried out with default setting according to user input data
Setting.For example, the default prompting mode of electronic equipment is bright screen, in addition, referring to figure 2., electronic equipment is also provided with prompt side
The set interface of formula selects prompting mode for user according to actual needs, when user has selected " jingle bell while in bright screen "
When prompting mode, if receiving the voice " little Ou you where " of user's sending, electronic equipment will be with the side of bright screen and jingle bell
Formula reminds its position for being currently located of user.
From the foregoing, it will be observed that electronic equipment can obtain corresponding band when receiving Noisy Speech Signal in the embodiment of the present application
The history noise signal of noisy speech signal.According to the history noise signal got, Noisy Speech Signal reception period is obtained
Noise signal.The noise signal that will acquire carries out antiphase with Noisy Speech Signal and is superimposed, and obtains noise-reduced speech signal.It obtains
Noise-reduced speech signal includes instructions to be performed, and it is instructions to be performed for prompted for trigger position instruction when, according to pre-
If mode executes the prompt operation of prompt current location.In the present solution, noisy speech letter can be received in a noisy environment
Number when, to Noisy Speech Signal carry out noise reduction process, obtain noise-reduced speech signal, execute prompt further according to the noise-reduced speech signal
The prompt of current location operates, and avoids noise jamming, and the success rate that triggering electronic equipment carries out position indicating can be improved.
In one embodiment, " according to the history noise signal got, making an uproar for Noisy Speech Signal reception period is obtained
Acoustical signal " includes：
(1) the history noise signal that will acquire carries out model training as sample data, obtains noise prediction model；
(2) noise signal of Noisy Speech Signal reception period is predicted according to noise prediction model.
Wherein, electronic equipment is after getting history noise signal, using the history noise signal as sample data, and
Model training is carried out according to default training algorithm, obtains noise prediction model.
It should be noted that training algorithm is machine learning algorithm, machine learning algorithm can be by constantly carrying out spy
Sign study is to predict data, for example, electronic equipment can predict current noise point according to the noise profile of history
Cloth.Wherein, machine learning algorithm may include：Decision Tree algorithms, regression algorithm, bayesian algorithm, neural network algorithm (can be with
Including deep neural network algorithm, convolutional neural networks algorithm and recurrent neural network algorithm etc.), clustering algorithm etc., it is right
It, can be by those skilled in the art according to actual needs in choosing which kind of training algorithm is used as default training algorithm progress model training
It is chosen.
For example, the default training algorithm of the configuration of electronic equipment configuration is gauss hybrid models algorithm (for a kind of recurrence calculation
Method), after getting history noise signal, using the history noise signal as sample data, and according to gauss hybrid models
Algorithm carries out model training, and training obtains a gauss hybrid models, and (noise prediction model includes multiple Gauss units, for retouching
State noise profile), using the gauss hybrid models as noise prediction model.Later, electronic equipment receives Noisy Speech Signal
With input of the finish time as noise prediction model at the beginning of period, it is input to noise prediction model and is handled, obtained
To the noise signal of noise prediction model output Noisy Speech Signal reception period.
In one embodiment, it " is operated according to the prompt that predetermined manner executes prompt current location " and includes：
Current location information is obtained, and exports the location information in a manner of voice.
To help user preferably to find electronic equipment, the embodiment of the present application provides a kind of mode for executing prompt operation,
Including：
Electronic equipment gets current position when the prompt for executing prompt current location according to predetermined manner operates first
Confidence breath, wherein (electronic equipment can be identified according to the intensity size for receiving satellite positioning signal being in outdoor environment
It is currently at outdoor environment, is in indoor environment, for example, being lower than preset threshold in the satellite positioning signal intensity received
When, determine to be in indoor environment, when the satellite positioning signal intensity received is greater than or equal to preset threshold, determines to be in room
External environment) when, electronic equipment can get current location information using satellite positioning tech, be in indoor environment
When, electronic equipment can obtain current location information using indoor positioning technologies.Get current location information it
Afterwards, electronic equipment exports the location information got in a manner of voice, to prompt its current location.
For example, incorporated by reference to referring to Fig. 3 and Fig. 4, when electronic equipment is lost on the desktop of meeting room by user, it may be said that
" little Ou you where " triggers the prompt operation that electronic equipment executes prompt current location out.Correspondingly, electronic equipment will connect
Noisy Speech Signal " little Ou you where+noise " is received, after carrying out noise reduction process to the Noisy Speech Signal, obtains noise reduction language
Sound signal " little Ou you where ", determines the finger instructions to be performed to prompt for trigger position that the noise-reduced speech signal includes
It enables, gets current location information " meeting room ", and export " I am in meeting room " in a manner of voice, user is drawn
It leads, user is helped to find electronic equipment.
In one embodiment, " acquisition noise-reduced speech signal includes instructions to be performed " includes：
(1) noise-reduced speech signal is sent to server, instruction server parses noise-reduced speech signal, and returns
Parse the obtained speech analysis text of noise-reduced speech signal；
(2) the speech analysis text that server returns is received, and noise reduction language is obtained according to the speech analysis text received
Sound signal includes instructions to be performed.
Wherein, electronic equipment judges after obtaining noise-reduced speech signal locally with the presence or absence of speech analysis engine, if not
In the presence of will then obtain noise-reduced speech signal and be sent to server (server is to provide the server of speech analysis service), refer to
Show that the server parses noise-reduced speech signal, and returns to the parsing obtained speech analysis text of noise-reduced speech signal.
After the speech analysis text for receiving server return, electronic equipment can be obtained according to the speech analysis text
Take that noise-reduced speech signal includes is instructions to be performed.Wherein, for how to obtain instructions to be performed, tool from speech analysis text
Body can refer to related description provided above, and details are not described herein again.
In one embodiment, before " acquisition noise-reduced speech signal includes instructions to be performed ", further include：
(1) vocal print feature of noise-reduced speech signal is obtained；
(2) whether the vocal print feature that judgement is got matches with default vocal print feature；
(3) when the vocal print feature got is matched with default vocal print feature, obtain noise-reduced speech signal include wait hold
Row instruction.
In real life, the characteristics of sound when everyone speaks has oneself, between known people, can only listen sound
Sound and mutually it is discernable.
The characteristics of this sound is exactly vocal print feature, and vocal print feature is mainly determined that first is the operatic tunes by two factors
Size, specifically includes throat, nasal cavity and oral cavity etc., shape, size and the position of these organs determine the size of vocal chord tension
With the range of sound frequency.Therefore different people is although if same, but the frequency distribution of sound is different, and is sounded
Have it is droning have it is loud and clear.
The factor of second decision vocal print feature is mode that phonatory organ is manipulated, phonatory organ include lip, tooth, tongue,
Soft palate and palate muscle etc., interaction will generate clearly voice between them.And the cooperation mode between them is that people is logical
Later incidental learning is arrived in the exchanging of day and people around.People passes through simulation surrounding different people during study is spoken
Tongue will gradually form the vocal print feature of oneself.
In the embodiment of the present application, when electronic equipment obtains noise-reduced speech signal, the sound of the noise-reduced speech signal is obtained first
Line feature.
After getting the vocal print feature of noise-reduced speech signal, vocal print feature that electronic equipment further will acquire with
Default vocal print feature is compared, to judge whether the vocal print feature matches with default vocal print feature.Wherein, vocal print is preset
Feature can be the preparatory typing of owner vocal print feature, judge noise-reduced speech signal vocal print feature whether with default vocal print feature
Matching, that is to say and judge whether the corresponding enunciator of noise-reduced speech signal is owner.
When the vocal print feature got is matched with default vocal print feature, electronic equipment determines that noise-reduced speech signal is corresponding
Enunciator is owner, at this time obtain noise-reduced speech signal include it is instructions to be performed, specifically can refer to related description provided above, herein
It repeats no more.
The embodiment of the present application by obtain noise-reduced speech signal include it is instructions to be performed before, according to the reducing noise of voice
The vocal print feature of signal carries out the identification of enunciator, and only when the corresponding enunciator of noise-reduced speech signal is owner,
What just acquisition noise-reduced speech signal included is instructions to be performed.Thereby, it is possible to avoid electronic equipment from executing the operation of non-owner's wish,
Promote the usage experience of owner.
In one embodiment, " whether the vocal print feature that judgement is got matches with default vocal print feature " includes：
(1) similarity of aforementioned vocal print feature and default vocal print feature is obtained；
(2) whether the similarity that judgement is got is greater than or equal to the first default similarity；
(3) it when the similarity got is greater than or equal to the first default similarity, determines aforementioned vocal print feature and presets
Vocal print feature matching.
Wherein, electronic equipment is available when whether the vocal print feature that judgement is got matches with default vocal print feature
The similarity of aforementioned vocal print feature and default vocal print feature, and it is default to judge whether the similarity got is greater than or equal to first
Similarity (is configured, for example, can be set to 95%) according to actual needs.Wherein, be greater than in the similarity got or
When equal to the first default similarity, determine that the aforementioned vocal print feature got is matched with default vocal print feature, in the phase got
When like degree less than the first default similarity, determine that the aforementioned vocal print feature got and default vocal print feature mismatch.
In one embodiment, after " whether the similarity that judgement is got is greater than or equal to the first default similarity ",
Further include：
(1) it when the similarity got is less than the first default similarity and is greater than or equal to the second default similarity, obtains
Take current location information；
(2) whether it is located within the scope of predeterminated position according to location information judgement is current；
(3) when being currently located within the scope of predeterminated position, determine that the vocal print feature obtained is matched with default vocal print feature.
It should be noted that since vocal print feature and the physiological characteristic of human body are closely related, in daily life, if with
Family is caught a cold if inflammation, and sound will become hoarse, and vocal print feature will also change therewith.In this case, even if it is electric
The corresponding enunciator of the Noisy Speech Signal that sub- equipment receives is owner, obtains reducing noise of voice letter carrying out noise reduction process to it
After number, electronic equipment can not also be identified.In addition, there is also a variety of the case where causing electronic equipment that can not identify owner,
Details are not described herein again.
For solve be likely to occur, can not identify the case where owner, in the embodiment of the present application, electronic equipment is completed
After the judgement of vocal print feature similarity, if the vocal print feature of noise-reduced speech signal and the similarity of default vocal print feature are less than
First default similarity, then further judge whether the similarity is greater than or equal to second default similarity (second default phase
It is configured with less than the first default similarity like degree, specifically can take according to actual needs desired value by those skilled in the art, for example,
When the first default similarity is arranged to 95%, can set the second default similarity to 75%).
Be in judging result it is yes, that is to say the vocal print feature, small with the similarity of default vocal print feature of noise-reduced speech signal
In the first default similarity and when being greater than or equal to the second default similarity, electronic equipment further gets current position letter
Breath.
Wherein, being in outdoor environment, (electronic equipment can be known according to the intensity size for receiving satellite positioning signal
It is not currently at outdoor environment, is in indoor environment, for example, being lower than default threshold in the satellite positioning signal intensity received
When value, determine to be in indoor environment, when the satellite positioning signal intensity received is greater than or equal to preset threshold, determines to be in
Outdoor environment) when, electronic equipment can get current location information using satellite positioning tech, be in indoor environment
When, electronic equipment can obtain current location information using indoor positioning technologies.
After getting current location information, whether electronic equipment is current positioned at default according to location information judgement
In position range.Wherein, predeterminated position range is configurable to the common position range of owner, such as family and company etc..
When determining to be currently located within the scope of predeterminated position, electronic equipment determines aforementioned vocal print feature and default vocal print feature
Matching, the corresponding enunciator of noise-reduced speech signal are identified as owner.
Thereby, it is possible to avoid it is being likely to occur, can not identify the case where owner, reach the mesh of the main usage experience of elevator
's.
Below by the basis of the method that above-described embodiment describes, further Jie is done to the position indicating method of the application
It continues.Referring to figure 5., which may include：
201, when receiving Noisy Speech Signal, the history noise signal of corresponding Noisy Speech Signal is obtained.
It is formed it should be noted that Noisy Speech Signal is combined by voice signal and ambient noise signal, electronic equipment can
To receive the Noisy Speech Signal of input in a number of different ways, for example, in the non-External microphone of electronic equipment, electronics
Equipment can be acquired external voice by built-in microphone, using collected Noisy Speech Signal as receiving
Noisy Speech Signal；For another example, when electronic equipment is circumscribed with microphone, electronic equipment can pass through external microphone pair
External voice is acquired, using collected Noisy Speech Signal as the Noisy Speech Signal received.
Wherein, electronic equipment is by microphone, (microphone herein can be built-in microphone, be also possible to external wheat
Gram wind) when receiving the Noisy Speech Signal of input, if microphone is simulation microphone, the noisy speech letter of simulation will be collected
Number, electronic equipment needs sample the Noisy Speech Signal of simulation at this time, and the Noisy Speech Signal of simulation is converted to
Digitized Noisy Speech Signal, for example, can be sampled with the sample frequency of 16KHz；In addition, if microphone is digital microphone
Wind, then electronic equipment will directly receive digitized Noisy Speech Signal by digital microphone, without being converted.
It is easily understood that when there is enunciator to issue voice signal in electronic equipment local environment, electronic equipment just meeting
Noisy Speech Signal is received, and working as does not have enunciator to issue voice signal in environment locating for electronic equipment, then electronics is set
It is standby only to receive noise signal.Wherein, the Noisy Speech Signal and noise signal that electronic equipment receives caching.
In the embodiment of the present application, electronic equipment is when receiving Noisy Speech Signal, when with the starting of Noisy Speech Signal
Carving is finish time, obtains and receives that receiving before Noisy Speech Signal, (preset duration can be by this field for preset duration
Technical staff takes desired value according to actual needs, and the embodiment of the present application is not particularly limited this, for example, can be set to
History noise signal 500ms), using the noise signal as the history noise signal of corresponding Noisy Speech Signal.
For example, preset duration is configured as 500 milliseconds, the initial time of Noisy Speech Signal is on 06 12nd, 2,018 11
When 04 divide 56 seconds 500 milliseconds again, then 04 divide 56 seconds on 06 12nd, 2018 when electronic equipment obtains 2018 06 month 12 days 11
When 11 04 divide 56 seconds it is caching during 500 milliseconds again, when a length of 500 milliseconds of noise signal, using the noise signal as correspondence
The history noise signal of Noisy Speech Signal.
202, the history noise signal that will acquire carries out model training as sample data, obtains noise prediction model.
Wherein, electronic equipment is after getting history noise signal, using the history noise signal as sample data, and
Model training is carried out according to default training algorithm, obtains noise prediction model.
It should be noted that training algorithm is machine learning algorithm, machine learning algorithm can be by constantly carrying out spy
Sign study is to predict data, for example, electronic equipment can predict current noise point according to the noise profile of history
Cloth.Wherein, machine learning algorithm may include：Decision Tree algorithms, regression algorithm, bayesian algorithm, neural network algorithm (can be with
Including deep neural network algorithm, convolutional neural networks algorithm and recurrent neural network algorithm etc.), clustering algorithm etc., it is right
It, can be by those skilled in the art according to actual needs in choosing which kind of training algorithm is used as default training algorithm progress model training
It is chosen.
For example, the default training algorithm of the configuration of electronic equipment configuration is gauss hybrid models algorithm, history is being got
After noise signal, using the history noise signal as sample data, and model training is carried out according to gauss hybrid models algorithm,
Training obtains a gauss hybrid models (noise prediction model includes multiple Gauss units, for describing noise profile), by this
Gauss hybrid models are as noise prediction model.
203, the noise signal of Noisy Speech Signal reception period is predicted according to noise prediction model.
After training obtains noise prediction model, electronic equipment by the beginning of Noisy Speech Signal reception period and
Input of the finish time as noise prediction model, is input to noise prediction model and is handled, it is defeated to obtain noise prediction model
The noise signal of Noisy Speech Signal reception period out.
204, the noise signal that will acquire carries out antiphase with Noisy Speech Signal and is superimposed, and obtains noise-reduced speech signal.
Wherein, after the noise signal for getting Noisy Speech Signal reception period, electronic equipment is first to getting
Noise signal carry out reverse phase processing, then reverse phase treated noise signal is overlapped with Noisy Speech Signal, has been eliminated
Noise section in Noisy Speech Signal, obtains noise-reduced speech signal.
205, the vocal print feature of noise-reduced speech signal is obtained.
In real life, the characteristics of sound when everyone speaks has oneself, between known people, can only listen sound
Sound and mutually it is discernable.
The characteristics of this sound is exactly vocal print feature, and vocal print feature is mainly determined that first is the operatic tunes by two factors
Size, specifically includes throat, nasal cavity and oral cavity etc., shape, size and the position of these organs determine the size of vocal chord tension
With the range of sound frequency.Therefore different people is although if same, but the frequency distribution of sound is different, and is sounded
Have it is droning have it is loud and clear.
The factor of second decision vocal print feature is mode that phonatory organ is manipulated, phonatory organ include lip, tooth, tongue,
Soft palate and palate muscle etc., interaction will generate clearly voice between them.And the cooperation mode between them is that people is logical
Later incidental learning is arrived in the exchanging of day and people around.People passes through simulation surrounding different people during study is spoken
Tongue will gradually form the vocal print feature of oneself.
In the embodiment of the present application, when electronic equipment obtains noise-reduced speech signal, the sound of the noise-reduced speech signal is obtained first
Line feature.
206, whether the vocal print feature that judgement is got matches with default vocal print feature.
After getting the vocal print feature of noise-reduced speech signal, vocal print feature that electronic equipment further will acquire with
Default vocal print feature is compared, to judge whether the vocal print feature matches with default vocal print feature.Wherein, vocal print is preset
Feature can be the preparatory typing of owner vocal print feature, judge noise-reduced speech signal vocal print feature whether with default vocal print feature
Matching, that is to say and judge whether the corresponding enunciator of noise-reduced speech signal is owner.
207, when the vocal print feature got is matched with default vocal print feature, obtain noise-reduced speech signal include wait hold
Row instruction.
When the vocal print feature got is matched with default vocal print feature, electronic equipment determines that noise-reduced speech signal is corresponding
Enunciator is owner, at this time obtain noise-reduced speech signal include it is instructions to be performed.
Wherein, obtain that noise-reduced speech signal includes it is instructions to be performed when, electronic equipment first determines whether local whether deposit
In speech analysis engine, and if it exists, then noise-reduced speech signal is input to local speech analysis engine and carries out language by electronic equipment
Sound parsing, obtains speech analysis text.Wherein, speech analysis is carried out to voice signal, that is to say voice signal by " audio "
To the conversion process of " text ".
After parsing obtains the speech analysis text of noise-reduced speech signal, electronic equipment is further from speech analysis text
What acquisition noise-reduced speech signal included in this is instructions to be performed.
Wherein, electronic equipment is previously stored with multiple instruction keyword, and single instruction keyword or multiple instruction are crucial
The corresponding instruction of word combination.The speech analysis text that analytically obtains obtain that noise-reduced speech signal includes it is instructions to be performed
When, electronic equipment carries out participle operation to aforementioned voice parsing text first, obtains the word sequence of corresponding speech analysis text, should
It include multiple words in word sequence.
After the word sequence for obtaining corresponding speech analysis text, electronic equipment carries out of instruction keyword to word sequence
Match, that is to say the instruction keyword found out in word sequence, so that matching obtains corresponding instruction, the instruction that matching is obtained is made
For the instructions to be performed of noise-reduced speech signal.Wherein, the matched and searched for instructing keyword includes exact matching and/or fuzzy
Match.
208, get it is instructions to be performed for prompt for trigger position instruction when, execute and mention according to predetermined manner
Show the prompt operation of current location.
After obtaining noise-reduced speech signal and including instructions to be performed, if recognizing instructions to be performed for for trigger position
The instruction of prompt is then operated according to the prompt that predetermined manner executes prompt current location.For example, the finger for trigger position prompt
Enable corresponding instruction keyword combination " little Ou "+" you "+" where ", when user says " little Ou you where ", electronic equipment
It will determine the instruction instructions to be performed to prompt for trigger position that " little Ou you where " includes.
Wherein, the mode that electronic equipment executes prompt operation can also be carried out with default setting according to user input data
Setting.For example, the default prompting mode of electronic equipment is bright screen, in addition, referring to figure 2., electronic equipment is also provided with prompt side
The set interface of formula selects prompting mode for user according to actual needs, when user has selected " jingle bell while in bright screen "
When prompting mode, if receiving the voice " little Ou you where " of user's sending, electronic equipment will be with the side of bright screen and jingle bell
Formula reminds its position for being currently located of user.
In one embodiment, a kind of position prompt device is additionally provided.Fig. 6 is please referred to, Fig. 6 provides for the embodiment of the present application
Position prompt device 400 structural schematic diagram.Wherein the position prompt device is applied to electronic equipment, the position prompt device
Module 401, second, which is obtained, including first obtains module 402, noise reduction module 403 and cue module 404, it is as follows：
First obtains module 401, for when receiving Noisy Speech Signal, obtaining the history of corresponding Noisy Speech Signal
Noise signal.
Second obtains module 402, for obtaining Noisy Speech Signal reception period according to the history noise signal got
Noise signal.
Noise reduction module 403, the noise signal for will acquire carry out antiphase with Noisy Speech Signal and are superimposed, dropped
Noisy speech signal.
Cue module 404, it is instructions to be performed for obtain that noise-reduced speech signal includes, and it is instructions to be performed for for
When the instruction of trigger position prompt, operated according to the prompt that predetermined manner executes prompt current location.
In one embodiment, the second acquisition module 402 can be used for：
The history noise signal that will acquire carries out model training as sample data, obtains noise prediction model；
The noise signal of Noisy Speech Signal reception period is predicted according to noise prediction model.
In one embodiment, cue module 404 can be used for：
Current location information is obtained, and exports the location information in a manner of voice.
In one embodiment, cue module 404 can be used for：
Noise-reduced speech signal is sent to server, instruction server parses noise-reduced speech signal, and returns to solution
Analyse the obtained speech analysis text of noise-reduced speech signal；
The speech analysis text that server returns is received, and reducing noise of voice letter is obtained according to the speech analysis text received
Number include is instructions to be performed.
In one embodiment, cue module 404 can be used for：
Obtain the vocal print feature of noise-reduced speech signal；
Judge whether the vocal print feature got matches with default vocal print feature；
When the vocal print feature got is matched with default vocal print feature, the pending finger that noise-reduced speech signal includes is obtained
It enables.
In one embodiment, cue module 404 can be used for：
Obtain the similarity of aforementioned vocal print feature and default vocal print feature；
Judge whether the similarity got is greater than or equal to the first default similarity；
When the similarity got is greater than or equal to the first default similarity, aforementioned vocal print feature and default vocal print are determined
Characteristic matching.
In one embodiment, cue module 404 can be used for：
When the similarity got is less than the first default similarity and is greater than or equal to the second default similarity, acquisition is worked as
Preceding location information；
Whether it is located within the scope of predeterminated position according to location information judgement is current；
When being currently located within the scope of predeterminated position, determine that the vocal print feature obtained is matched with default vocal print feature.
Wherein, the step of each module executes in position prompt device 400 side that reference can be made to the above method embodiment describes
Method step.The position prompt device 400 can integrate in the electronic device, such as mobile phone, tablet computer.
It is realized when it is implemented, the above modules can be used as independent entity, any combination can also be carried out, as
Same or several entities realize that the specific implementation of above each unit can be found in the embodiment of front, and details are not described herein.
From the foregoing, it will be observed that the present embodiment position prompt device can obtain mould by first when receiving Noisy Speech Signal
Block 401 obtains the history noise signal of corresponding Noisy Speech Signal.Module 402 is obtained according to the history noise got by second
Signal obtains the noise signal of Noisy Speech Signal reception period.The noise signal that will acquire by noise reduction module 403 is made an uproar with band
Voice signal carries out antiphase superposition, obtains noise-reduced speech signal.By cue module 404 obtain noise-reduced speech signal include to
Execute instruction, and it is instructions to be performed for prompt for trigger position instruction when, executed according to predetermined manner and prompt present bit
The prompt operation set.In the present solution, when can receive Noisy Speech Signal in a noisy environment, to Noisy Speech Signal into
Row noise reduction process, obtains noise-reduced speech signal, and the prompt for executing prompt current location further according to the noise-reduced speech signal operates, and keeps away
Noise jamming is exempted from, the success rate that triggering electronic equipment carries out position indicating can be improved.
In one embodiment, a kind of electronic equipment is also provided.Please refer to Fig. 7, electronic equipment 500 include processor 501 with
And memory 502.Wherein, processor 501 and memory 502 are electrically connected.
Processor 500 is the control centre of electronic equipment 500, utilizes various interfaces and the entire electronic equipment of connection
Various pieces by the computer program of operation or load store in memory 502, and are called and are stored in memory 502
Interior data execute the various functions of electronic equipment 500 and handle data.
Memory 502 can be used for storing software program and module, and processor 501 is stored in memory 502 by operation
Computer program and module, thereby executing various function application and data processing.Memory 502 can mainly include storage
Program area and storage data area, wherein storing program area can computer program needed for storage program area, at least one function
(such as sound-playing function, image player function etc.) etc.；Storage data area can be stored to be created according to using for electronic equipment
Data etc..In addition, memory 502 may include high-speed random access memory, it can also include nonvolatile memory, example
Such as at least one disk memory, flush memory device or other volatile solid-state parts.Correspondingly, memory 502 may be used also
To include Memory Controller, to provide access of the processor 501 to memory 502.
In the embodiment of the present application, the processor 501 in electronic equipment 500 can be according to following step, by one or one
The corresponding instruction of the process of a above computer program is loaded into memory 502, and is stored in by the operation of processor 501
Computer program in reservoir 502, thus realize various functions, it is as follows：
When receiving Noisy Speech Signal, the history noise signal of corresponding Noisy Speech Signal is obtained；
According to the history noise signal got, the noise signal of Noisy Speech Signal reception period is obtained；
The noise signal that will acquire carries out antiphase with Noisy Speech Signal and is superimposed, and obtains noise-reduced speech signal；
Obtain that noise-reduced speech signal includes is instructions to be performed, and in the finger instructions to be performed to prompt for trigger position
When enabling, operated according to the prompt that predetermined manner executes prompt current location.
Also referring to Fig. 8, in some embodiments, electronic equipment 500 can also include：Display 503, radio frequency electrical
Road 504, voicefrequency circuit 505 and power supply 506.Wherein, wherein display 503, radio circuit 504, voicefrequency circuit 505 and
Power supply 506 is electrically connected with processor 501 respectively.
Display 503 is displayed for information input by user or is supplied to the information and various figures use of user
Family interface, these graphical user interface can be made of figure, text, icon, video and any combination thereof.Display 503
May include display panel, in some embodiments, can using liquid crystal display (Liquid Crystal Display,
LCD) or the forms such as Organic Light Emitting Diode (Organic Light-Emitting Diode, OLED) configure display surface
Plate.
Radio circuit 504 can be used for transceiving radio frequency signal, to set by wireless communication with the network equipment or other electronics
It is standby to establish wireless telecommunications, the receiving and transmitting signal between the network equipment or other electronic equipments.
Voicefrequency circuit 505 can be used for providing the audio interface between user and electronic equipment by loudspeaker, microphone.
Power supply 506 is used to all parts power supply of electronic equipment 500.In some embodiments, power supply 506 can be with
It is logically contiguous by power-supply management system and processor 501, thus by power-supply management system realize management charging, electric discharge, with
And the functions such as power managed.
Although being not shown in Fig. 8, electronic equipment 500 can also include camera, bluetooth module etc., and details are not described herein.
In some embodiments, according to the history noise signal got, Noisy Speech Signal reception period is obtained
Noise signal when, processor 501 can execute following steps：
The history noise signal that will acquire carries out model training as sample data, obtains noise prediction model；
The noise signal of Noisy Speech Signal reception period is predicted according to noise prediction model.
In some embodiments, when the prompt for executing prompt current location according to predetermined manner operates, processor 501
Following steps can be executed：
Current location information is obtained, and exports the location information in a manner of voice.
In some embodiments, obtain noise-reduced speech signal include it is instructions to be performed when, processor 501 can be held
Row following steps：
Noise-reduced speech signal is sent to server, instruction server parses noise-reduced speech signal, and returns to solution
Analyse the obtained speech analysis text of noise-reduced speech signal；
The speech analysis text that server returns is received, and reducing noise of voice letter is obtained according to the speech analysis text received
Number include is instructions to be performed.
In some embodiments, obtain that noise-reduced speech signal includes it is instructions to be performed before, processor 501 can be with
Execute following steps：
Obtain the vocal print feature of noise-reduced speech signal；
Judge whether the vocal print feature got matches with default vocal print feature；
When the vocal print feature got is matched with default vocal print feature, the pending finger that noise-reduced speech signal includes is obtained
It enables.
In some embodiments, when whether the vocal print feature that judgement is got matches with default vocal print feature, processing
Following steps can also be performed in device 501：
Obtain the similarity of aforementioned vocal print feature and default vocal print feature；
Judge whether the similarity got is greater than or equal to the first default similarity；
When the similarity got is greater than or equal to the first default similarity, aforementioned vocal print feature and default vocal print are determined
Characteristic matching.
In some embodiments, the similarity that gets of judgement whether be greater than or equal to the first default similarity it
Afterwards, following steps can also be performed in processor 501：
When the similarity got is less than the first default similarity and is greater than or equal to the second default similarity, acquisition is worked as
Preceding location information；
Whether it is located within the scope of predeterminated position according to location information judgement is current；
When being currently located within the scope of predeterminated position, determine that the vocal print feature obtained is matched with default vocal print feature.
The embodiment of the present application also provides a kind of storage medium, and the storage medium is stored with computer program, when the meter
When calculation machine program is run on computers, so that the computer executes the position indicating method in any of the above-described embodiment, than
Such as：When receiving Noisy Speech Signal, the history noise signal of corresponding Noisy Speech Signal is obtained；According to the history got
Noise signal obtains the noise signal of Noisy Speech Signal reception period；The noise signal and Noisy Speech Signal that will acquire
Antiphase superposition is carried out, noise-reduced speech signal is obtained；Obtain that noise-reduced speech signal includes is instructions to be performed, and in pending finger
When enabling the instruction to prompt for trigger position, operated according to the prompt that predetermined manner executes prompt current location.
In the embodiment of the present application, storage medium can be magnetic disk, CD, read-only memory (Read Only Memory,
ROM) or random access device (Random Access Memory, RAM) etc..
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, there is no the portion being described in detail in some embodiment
Point, reference can be made to the related descriptions of other embodiments.
It should be noted that for the position indicating method of the embodiment of the present application, this field common test personnel can be with
Understand all or part of the process for realizing the position indicating method of the embodiment of the present application, is that can be controlled by computer program
Relevant hardware is completed, and the computer program can be stored in a computer-readable storage medium, be such as stored in electronics
It in the memory of equipment, and is executed by least one processor in the electronic equipment, in the process of implementation may include such as position
The process of the embodiment of reminding method.Wherein, the storage medium can be magnetic disk, CD, read-only memory, arbitrary access note
Recall body etc..
For the position prompt device of the embodiment of the present application, each functional module be can integrate in a processing chip
In, it is also possible to modules and physically exists alone, can also be integrated in two or more modules in a module.It is above-mentioned
Integrated module both can take the form of hardware realization, can also be realized in the form of software function module.It is described integrated
If module realized in the form of software function module and when sold or used as an independent product, also can store one
In a computer-readable storage medium, the storage medium is for example read-only memory, disk or CD etc..
Above to a kind of position indicating method, device, storage medium and electronic equipment provided by the embodiment of the present application into
It has gone and has been discussed in detail, specific examples are used herein to illustrate the principle and implementation manner of the present application, the above implementation
The explanation of example is merely used to help understand the present processes and its core concept；Meanwhile for those skilled in the art, according to
According to the thought of the application, there will be changes in the specific implementation manner and application range, in conclusion the content of the present specification
It should not be construed as the limitation to the application.
Claims (10)
1. a kind of position indicating method, which is characterized in that including：
When receiving Noisy Speech Signal, the history noise signal of the corresponding Noisy Speech Signal is obtained；
According to the history noise signal, the noise signal of the Noisy Speech Signal reception period is obtained；
The noise signal is carried out antiphase with the Noisy Speech Signal to be superimposed, obtains noise-reduced speech signal；
Obtain that the noise-reduced speech signal includes is instructions to be performed, and described instructions to be performed to prompt for trigger position
Instruction when, according to predetermined manner execute prompt current location prompt operate.
2. position indicating method as described in claim 1, which is characterized in that according to the history noise signal, described in acquisition
The step of noise signal of Noisy Speech Signal reception period, including：
Model training is carried out using the history noise signal as sample data, obtains noise prediction model；
The noise signal of the reception period is predicted according to the noise prediction model.
3. position indicating method as described in claim 1, which is characterized in that execute prompt current location according to predetermined manner
Prompt operation the step of include：
Current location information is obtained, and exports the location information in a manner of voice.
4. position indicating method as described in claim 1, which is characterized in that obtain that the noise-reduced speech signal includes wait hold
The step of row instruction, including：
The noise-reduced speech signal is sent to server, indicates that the server parses the noise-reduced speech signal,
And return to the parsing obtained speech analysis text of noise-reduced speech signal；
The speech analysis text that the server returns is received, and described pending according to speech analysis text acquisition
Instruction.
5. position indicating method according to any one of claims 1-4, which is characterized in that obtain the noise-reduced speech signal packet
Before the step instructions to be performed included, further include：
Obtain the vocal print feature of the noise-reduced speech signal；
Judge whether the vocal print feature matches with default vocal print feature；
When the vocal print feature is matched with default vocal print feature, obtain that the noise-reduced speech signal includes is instructions to be performed.
6. position indicating method as claimed in claim 5, which is characterized in that judge the vocal print feature whether with default vocal print
Characteristic matching, including：
Obtain the similarity of the vocal print feature and the default vocal print feature；
Judge whether the similarity is greater than or equal to the first default similarity；
When the similarity is greater than or equal to the first default similarity, the vocal print feature and the default vocal print are determined
Characteristic matching.
7. position indicating method as claimed in claim 6, which is characterized in that judge whether the similarity is greater than or equal to
After one default similarity, further include：
When the similarity is less than the described first default similarity and is greater than or equal to the second default similarity, obtain current
Location information；
Whether judgement is current according to the positional information is located within the scope of predeterminated position；
When being currently located within the scope of predeterminated position, determine that the vocal print feature is matched with the default vocal print feature.
8. a kind of position prompt device, which is characterized in that including：
First obtains module, and the history for when receiving Noisy Speech Signal, obtaining the corresponding Noisy Speech Signal is made an uproar
Acoustical signal；
Second obtains module, for obtaining the noise of the Noisy Speech Signal reception period according to the history noise signal
Signal；
Noise reduction module is superimposed for the noise signal to be carried out antiphase with the Noisy Speech Signal, obtains reducing noise of voice
Signal；
Cue module, it is instructions to be performed for obtain that the noise-reduced speech signal includes, and described instructions to be performed to use
When the instruction of trigger position prompt, operated according to the prompt that predetermined manner executes prompt current location.
9. a kind of storage medium, is stored thereon with computer program, which is characterized in that when the computer program on computers
When operation, so that the computer executes position indicating method as described in any one of claim 1 to 7.
10. a kind of electronic equipment, including processor and memory, the memory storage have computer program, which is characterized in that
The processor is by calling the computer program, for executing position indicating side as described in any one of claim 1 to 7
Method.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810648187.4A CN108922523B (en) | 2018-06-19 | 2018-06-19 | Position prompting method and device, storage medium and electronic equipment |
| PCT/CN2019/085557 WO2019242415A1 (en) | 2018-06-19 | 2019-05-05 | Position prompt method, device, storage medium and electronic device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810648187.4A CN108922523B (en) | 2018-06-19 | 2018-06-19 | Position prompting method and device, storage medium and electronic equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108922523A true CN108922523A (en) | 2018-11-30 |
| CN108922523B CN108922523B (en) | 2021-06-15 |
Family
ID=64420994
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810648187.4A Expired - Fee Related CN108922523B (en) | 2018-06-19 | 2018-06-19 | Position prompting method and device, storage medium and electronic equipment |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN108922523B (en) |
| WO (1) | WO2019242415A1 (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2019242415A1 (en) * | 2018-06-19 | 2019-12-26 | Oppo广东移动通信有限公司 | Position prompt method, device, storage medium and electronic device |
| CN113709291A (en) * | 2021-08-06 | 2021-11-26 | 北京三快在线科技有限公司 | Audio processing method and device, electronic equipment and readable storage medium |
Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101802909A (en) * | 2007-09-12 | 2010-08-11 | 杜比实验室特许公司 | Speech enhancement with noise level estimation adjustment |
| CN103002147A (en) * | 2012-11-29 | 2013-03-27 | 广东欧珀移动通信有限公司 | Auto-answer method and device for mobile terminal (MT) |
| CN103578477A (en) * | 2012-07-30 | 2014-02-12 | 中兴通讯股份有限公司 | Denoising method and device based on noise estimation |
| US20140303983A1 (en) * | 2013-04-04 | 2014-10-09 | Spansion Llc | Authentication for recognition systems |
| CN104580699A (en) * | 2014-12-15 | 2015-04-29 | 广东欧珀移动通信有限公司 | Method and device for acoustically controlling intelligent terminal in standby state |
| CN104900237A (en) * | 2015-04-24 | 2015-09-09 | 上海聚力传媒技术有限公司 | Method, device and system for denoising audio information |
| CN106101909A (en) * | 2016-08-26 | 2016-11-09 | 维沃移动通信有限公司 | A kind of method of earphone noise reduction and mobile terminal |
| CN106297779A (en) * | 2016-07-28 | 2017-01-04 | 块互动（北京）科技有限公司 | A kind of background noise removing method based on positional information and device |
| CN106412272A (en) * | 2016-09-23 | 2017-02-15 | 珠海格力电器股份有限公司 | Method and apparatus for prompting position of mobile terminal and mobile terminal |
| CN106941703A (en) * | 2016-01-04 | 2017-07-11 | 上海交通大学 | Indoor and outdoor seamless positioning apparatus and method based on Situation Awareness |
| CN106960667A (en) * | 2017-03-08 | 2017-07-18 | 杭州联络互动信息科技股份有限公司 | Position reminding methods, devices and systems |
| CN107339990A (en) * | 2017-06-27 | 2017-11-10 | 北京邮电大学 | Multi-pattern Fusion alignment system and method |
| CN107666536A (en) * | 2016-07-29 | 2018-02-06 | 北京搜狗科技发展有限公司 | A kind of method and apparatus for finding terminal, a kind of device for being used to find terminal |
| CN108062464A (en) * | 2017-11-27 | 2018-05-22 | 北京传嘉科技有限公司 | Terminal control method and system based on Application on Voiceprint Recognition |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102905029A (en) * | 2012-10-17 | 2013-01-30 | 广东欧珀移动通信有限公司 | Mobile phone and method for looking for mobile phone through intelligent voice |
| CN103024157B (en) * | 2012-11-28 | 2015-01-07 | 广东欧珀移动通信有限公司 | Voice based mobile terminal seeking method and system |
| CN106034024A (en) * | 2015-03-11 | 2016-10-19 | 广州杰赛科技股份有限公司 | Authentication method based on position and voiceprint |
| KR102562287B1 (en) * | 2016-10-14 | 2023-08-02 | 삼성전자주식회사 | Electronic device and audio signal processing method thereof |
| CN108922523B (en) * | 2018-06-19 | 2021-06-15 | Oppo广东移动通信有限公司 | Position prompting method and device, storage medium and electronic equipment |
-
2018
- 2018-06-19 CN CN201810648187.4A patent/CN108922523B/en not_active Expired - Fee Related
-
2019
- 2019-05-05 WO PCT/CN2019/085557 patent/WO2019242415A1/en active Application Filing
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101802909A (en) * | 2007-09-12 | 2010-08-11 | 杜比实验室特许公司 | Speech enhancement with noise level estimation adjustment |
| CN103578477A (en) * | 2012-07-30 | 2014-02-12 | 中兴通讯股份有限公司 | Denoising method and device based on noise estimation |
| CN103002147A (en) * | 2012-11-29 | 2013-03-27 | 广东欧珀移动通信有限公司 | Auto-answer method and device for mobile terminal (MT) |
| US20140303983A1 (en) * | 2013-04-04 | 2014-10-09 | Spansion Llc | Authentication for recognition systems |
| CN104580699A (en) * | 2014-12-15 | 2015-04-29 | 广东欧珀移动通信有限公司 | Method and device for acoustically controlling intelligent terminal in standby state |
| CN104900237A (en) * | 2015-04-24 | 2015-09-09 | 上海聚力传媒技术有限公司 | Method, device and system for denoising audio information |
| CN106941703A (en) * | 2016-01-04 | 2017-07-11 | 上海交通大学 | Indoor and outdoor seamless positioning apparatus and method based on Situation Awareness |
| CN106297779A (en) * | 2016-07-28 | 2017-01-04 | 块互动（北京）科技有限公司 | A kind of background noise removing method based on positional information and device |
| CN107666536A (en) * | 2016-07-29 | 2018-02-06 | 北京搜狗科技发展有限公司 | A kind of method and apparatus for finding terminal, a kind of device for being used to find terminal |
| CN106101909A (en) * | 2016-08-26 | 2016-11-09 | 维沃移动通信有限公司 | A kind of method of earphone noise reduction and mobile terminal |
| CN106412272A (en) * | 2016-09-23 | 2017-02-15 | 珠海格力电器股份有限公司 | Method and apparatus for prompting position of mobile terminal and mobile terminal |
| CN106960667A (en) * | 2017-03-08 | 2017-07-18 | 杭州联络互动信息科技股份有限公司 | Position reminding methods, devices and systems |
| CN107339990A (en) * | 2017-06-27 | 2017-11-10 | 北京邮电大学 | Multi-pattern Fusion alignment system and method |
| CN108062464A (en) * | 2017-11-27 | 2018-05-22 | 北京传嘉科技有限公司 | Terminal control method and system based on Application on Voiceprint Recognition |
Non-Patent Citations (5)
| Title |
|---|
| LEHNE, P.H 等: "Analyzing smart phones" 3D accelerometer measurements to identify typical usage positions in voice mode", 《2016 10TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION (EUCAP)》 * |
| 王海峰: "语音降噪实时处理算法研究", 《中国优秀硕士学位论文全文数据库信息科技辑》 * |
| 郑德庆: "《办公自动化技术》", 30 November 2003 * |
| 郭源生: "《智慧医疗与健康养老》", 30 September 2017 * |
| 马刚: "《基于语义的Web数据挖掘》", 31 January 2014 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2019242415A1 (en) * | 2018-06-19 | 2019-12-26 | Oppo广东移动通信有限公司 | Position prompt method, device, storage medium and electronic device |
| CN113709291A (en) * | 2021-08-06 | 2021-11-26 | 北京三快在线科技有限公司 | Audio processing method and device, electronic equipment and readable storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108922523B (en) | 2021-06-15 |
| WO2019242415A1 (en) | 2019-12-26 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108922525A (en) | Method of speech processing, device, storage medium and electronic equipment | |
| CN108806684A (en) | Position indicating method, device, storage medium and electronic equipment | |
| CN106201424B (en) | A kind of information interacting method, device and electronic equipment | |
| CN105810194B (en) | Speech-controlled information acquisition methods and intelligent terminal under standby mode | |
| CN108764304A (en) | scene recognition method, device, storage medium and electronic equipment | |
| CN108900965A (en) | Position indicating method, device, storage medium and electronic equipment | |
| CN108962241A (en) | Position indicating method, device, storage medium and electronic equipment | |
| CN107644642A (en) | Method for recognizing semantics, device, storage medium and electronic equipment | |
| CN108829235A (en) | Voice data processing method and the electronic equipment for supporting this method | |
| CN110459222A (en) | Sound control method, phonetic controller and terminal device | |
| CN108009521A (en) | Humanface image matching method, device, terminal and storage medium | |
| DE112014000709T5 (en) | Voice trigger for a digital assistant | |
| CN106448678A (en) | Method and apparatus for executing voice command in electronic device | |
| CN108701127A (en) | Electronic equipment and its operating method | |
| CN108541312A (en) | The multi-modal transmission of packetized data | |
| CN108804070A (en) | Method for playing music, device, storage medium and electronic equipment | |
| CN109903773A (en) | Audio-frequency processing method, device and storage medium | |
| CN105975063B (en) | A kind of method and apparatus controlling intelligent terminal | |
| CN107967333A (en) | Voice search method, voice searching device and electronic equipment | |
| CN108711429A (en) | Electronic equipment and apparatus control method | |
| CN107943534A (en) | Method for closing, device, storage medium and the electronic equipment of background application | |
| CN106341539A (en) | Automatic evidence obtaining method of malicious caller voiceprint, apparatus and mobile terminal thereof | |
| CN109308178A (en) | A kind of voice drafting method and its terminal device | |
| CN109144458A (en) | For executing the electronic equipment for inputting corresponding operation with voice | |
| CN108922523A (en) | Position indicating method, device, storage medium and electronic equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20210615 |