CN106941653A - Artificial cochlea's intelligent predicting system and method - Google Patents
Artificial cochlea's intelligent predicting system and method Download PDFInfo
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- CN106941653A CN106941653A CN201710215279.9A CN201710215279A CN106941653A CN 106941653 A CN106941653 A CN 106941653A CN 201710215279 A CN201710215279 A CN 201710215279A CN 106941653 A CN106941653 A CN 106941653A
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- 238000000034 method Methods 0.000 title claims abstract description 40
- 210000003477 cochlea Anatomy 0.000 title claims abstract description 29
- 230000001186 cumulative effect Effects 0.000 claims description 24
- 238000009825 accumulation Methods 0.000 claims description 21
- 238000002513 implantation Methods 0.000 description 6
- 239000007943 implant Substances 0.000 description 5
- 230000009286 beneficial effect Effects 0.000 description 2
- 206010011878 Deafness Diseases 0.000 description 1
- 210000000860 cochlear nerve Anatomy 0.000 description 1
- 231100000895 deafness Toxicity 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 208000016354 hearing loss disease Diseases 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 238000005728 strengthening Methods 0.000 description 1
Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R25/00—Deaf-aid sets, i.e. electro-acoustic or electro-mechanical hearing aids; Electric tinnitus maskers providing an auditory perception
- H04R25/50—Customised settings for obtaining desired overall acoustical characteristics
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R2225/00—Details of deaf aids covered by H04R25/00, not provided for in any of its subgroups
- H04R2225/025—In the ear hearing aids [ITE] hearing aids
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R2225/00—Details of deaf aids covered by H04R25/00, not provided for in any of its subgroups
- H04R2225/41—Detection or adaptation of hearing aid parameters or programs to listening situation, e.g. pub, forest
Abstract
The invention discloses a kind of artificial cochlea's intelligent predicting system and method, wherein system includes intelligent scene identifying system, manual process selecting module, manual process selection key, intelligent program prediction module and episode sequence output module, intelligent program prediction module is also connected with episode sequence output module, after the completion of training, the output of intelligent scene identifying system is optional to be connected with manual process selecting module or intelligent program prediction module；When selecting intelligent program prediction module, according to the output of intelligent program prediction module come option program, exported；When the sample size of certain sound scenery is not enough, intelligent program prediction module selects immediate sound scenery, is transmitted to episode sequence output module and enters line program output；If without close sound scenery, choosing default program and being exported.The present invention can be manually selected or intelligent distinguishing scene, enter line program output.
Description
Technical field
The invention belongs to field of signal processing, more particularly to a kind of artificial cochlea's intelligent predicting system and method.
Background technology
Artificial cochlea is a kind of artificial function that severe or pole severe deafness patient can be helped to recover hearing.It is by external
The signal processing unit and the implant composition of et al. Ke worn.Wherein, on external signal processing unit microphone is born
Duty collects the voice signal in environment, is then handled by signal processor (DSP, digital signal processor)
And coding, then the signal encoded is sent to internal implant by way of radio frequency, and produce in electrod-array corresponding
Electric impulse signal stimulate auditory nerve, it is final to help implantation person to recover hearing.
In different living scenes, the DSP of artificial cochlea needs to enable different algorithms to handle corresponding sound letter
Number.Such as in quiet environment, system needs to extend the cruising time of battery into battery saving mode；In complicated noise ring
, it is necessary to enable noise reduction algorithm to eliminate interference of the noise to voice signal in border；When listening music, system then needs high in strengthening
The signal intensity of frequency, to lift the music experience of user.Meanwhile, in different scenes, cochlear implant is for program
With the setting of parameter, the hobby of oneself is also had.Such as in identical noise circumstance, some implantation persons tend to understand sound
Sound, so there is higher requirement to speech discrimination score；And some implantation persons are more likely to comfortableness, so more valuing sound letter
Number comfort level.For the different demand of implantation person, different programs and parameter setting should be also taken.So, if it is possible to
Learn use habit of the cochlea implantation person in conventional scene, and predict their desired uses in a new environment accordingly
Program and parameter, that rests against system for each cochlea implantation person, in every kind of environment, intelligently selects them most to like
Joyous program and parameter setting.
At present only by automatic scene Recognition, the intelligent scene for helping cochlear implant to automatically select program is known
Other system.However, what the program and relevant parameter recommended all patients by such system were just as, it can not expire
The personalized demand of pedopathy people.Such as, under same noise scenarios, some patients, which like listening, to be become apparent from, and have
Patient likes listening more more comfortable, and identical program can not be used by so resulting in them, and will be according to their specific need
Which type of ask, to determine program selected.
The content of the invention
In view of this, it is an object of the invention to provide a kind of artificial cochlea's intelligent predicting system and method, it can learn
In alternative sounds scene, cochlear implant is predicted according to its use habit the use habit of distinct program,
What kind of program should be selected in new scene.
To reach above-mentioned purpose, the invention provides a kind of artificial cochlea's intelligent predicting system, a kind of artificial cochlea's intelligence
Forecasting system, including manual process selection key, manual process selecting module, intelligent scene identifying system, intelligent program prediction mould
Block and episode sequence output module, wherein,
The intelligent scene identifying system is connected with intelligent program prediction module, and intelligent scene identifying system judges current institute
Locate sound scenery, the scene results of identification are inputed into intelligent program prediction module；
The input of the manual process selection key is connected with manual process selecting module, presses manual process selection key to working as
Preceding sound scenery program thereby is selected, while the scene Recognition result that selection result and intelligent scene identifying system are inputted
Matched, after sample accumulation to predeterminable level, the training based on sample is carried out to intelligent program prediction module；Manual
Under pattern, the result of selection is exported enters line program output to episode sequence output module；
Under intelligent mode, the intelligent program prediction module is connected with episode sequence output module, after the completion of training,
Program is automatically selected in episode sequence output module according to the output of intelligent program prediction module, exported；In certain sound
When the sample size of scene is not enough, intelligent program prediction module selects immediate sound scenery, is transmitted to episode sequence output module
Enter line program output；If without close sound scenery, choosing default program and being exported.
Preferably, before the sample accumulation needed for completing training, knot of the manual process selection key to procedure selection
Fruit feeds back to the corresponding relation of manual process selecting module, record sound scenery and program, is expressed from the next：
Wherein, C is current sound scene, and P is the selected program of user, and i is sample sequence number.
Preferably, after sample accumulation to predeterminable level, the training based on sample is carried out, the manual process selects mould
Block is exported to the result of procedure selection gives intelligent program prediction module, counts the cumulative number used under every kind of sound scenery most
Many programs, are determined by following formula：
Pc=FindMax { Pi| C=Ci}
Wherein, Pi is sound scenery when being Ci, the most program of the cumulative number used, and is set to output program
Pc。
Preferably, after the completion of training, the output of intelligent scene identifying system is connected with intelligent program prediction module, scene
The program of program output module output is determined by following formula：
Wherein, Pc is output program；Pi is sound scenery when being Ci, the most program of the cumulative number used；Pj is
When selecting manual mode, frequency of use is higher than the Pi matched with Ci, then is matched by Pj instead of Pi with Ci；When selecting intelligent mode,
According to current sound scenery Ci, intelligent Matching selection Pi is used as output program Pc.
Preferably, when the sample size in certain sound scenery is not enough, output program Pc is determined by following formula：
Wherein, C is the not enough sound scenery of sample size, and such as sound scenery Ci is approximate with C, and sound scenery Ci has therewith
The most program Pi of the cumulative number used matched somebody with somebody, then Pi be used as output program Pc；As do not found the sound scenery approximate with C
Ci, then default program PdefaultIt is used as output program Pc.
Based on above-mentioned purpose, present invention also offers a kind of artificial cochlea's intelligent Forecasting, comprise the following steps：
The judgement of intelligent scene identifying system is presently in sound scenery, and manual or intelligent mode is selected by scene according to user
Recognition result is exported, and before the sample accumulation needed for completing training, can only select manual mode；
Manual mode is such as selected, then current sound scene program thereby is selected by pressing manual process selection key
Select；
After sample accumulation to predeterminable level, the training based on sample is carried out, i.e., with the result manually selected come to field
Scape and the corresponding relation of program are trained；
Such as select intelligent mode, then need to be after the completion of training, according to the output intelligent selection journey of intelligent program prediction module
Sequence, is exported；
When the sample size of certain sound scenery is not enough, intelligent program prediction module selects immediate sound scenery, carries out
Program is exported；If without close sound scenery, choosing default program and being exported；
Preferably, before the sample accumulation needed for completing training, manual mode can only be selected, and record acoustic field
The corresponding relation of scape and program, is expressed from the next：
Wherein, C is current sound scene, and P is the selected program of user, and i is sample sequence number.
Preferably, it is described after sample accumulation to predeterminable level, the training based on sample is carried out, that is, uses what is manually selected
As a result come to be trained the corresponding relation of scene and program, count the cumulative number that is used under every kind of sound scenery most
Program, is determined by following formula：
Pc=FindMax { Pi| C=Ci}
Wherein, Pi is sound scenery when being Ci, the most program of the cumulative number used, and is set to output program
Pc。
Preferably, it is described after the completion of training, according to the output intelligent selection program of intelligent program prediction module, carry out defeated
Go out, the optional manual or intelligent mode of user, output program is determined by following formula：
Wherein, Pc is output program；Pi is sound scenery when being Ci, the most program of the cumulative number used；Pj is
When selecting manual mode, frequency of use is higher than the Pi matched with Ci, then is matched by Pj instead of Pi with Ci；When selecting intelligent mode,
According to current sound scenery Ci, intelligent Matching selection Pi is used as output program Pc.
Preferably, when the sample size in certain sound scenery is not enough, intelligent program prediction module selects immediate sound
Sound field scape, enters line program output；If without close sound scenery, choosing default program and being exported, output program Pc is under
Formula is determined：
Wherein, C is the not enough sound scenery of sample size, and such as sound scenery Ci is approximate with C, and sound scenery Ci has therewith
The most program Pi of the cumulative number used matched somebody with somebody, then Pi be used as output program Pc；As do not found the sound scenery approximate with C
Ci, then default program PdefaultIt is used as output program Pc.
The beneficial effects of the present invention are：This intelligent program forecasting system, can be with the basis that intelligent scene is recognized
Meet the individual demand of artificial cochlea or audiphone user.Can be according to their conventional use habits, and to specific
The preference of scene, to predict them in the program and parameter setting used desired by current scene, rather than it is single to all
Cochlea or audiphone user recommend same program, it is not required that they carry out changeover program manually.It can so be used in reduction
While the operational ton of family, their real needs are met, the final effect for realizing lifting Consumer's Experience.
Brief description of the drawings
In order that the purpose of the present invention, technical scheme and beneficial effect are clearer, the present invention provides drawings described below and carried out
Explanation：
Fig. 1 is a kind of artificial cochlea's intelligent predicting system structure diagram of the embodiment of the present invention；
Fig. 2 is a kind of step flow chart of artificial cochlea's intelligent Forecasting of the embodiment of the present invention.
Embodiment
Below in conjunction with accompanying drawing, the preferred embodiments of the present invention are described in detail.
Referring to Fig. 1, a kind of artificial cochlea's intelligent predicting system of the embodiment of the present invention, including manual process selection are shown
Key 20, manual process selecting module 30, intelligent scene identifying system 10, intelligent program prediction module 40 and episode sequence output mould
Block 50, wherein,
The intelligent scene identifying system 10 is connected with intelligent program prediction module 40, and intelligent scene identifying system 10 judges
Sound scenery is presently in, the scene results of identification are inputed into intelligent program prediction module 40；
The input of the manual process selection key 20 is connected with manual process selecting module 30, presses manual process selection key
20 pairs of current sound scene program therebies are selected, while the scene that selection result and intelligent scene identifying system 10 are inputted
Recognition result is matched, after sample accumulation to predeterminable level, and intelligent program prediction module 40 is carried out based on sample
Training；In a manual mode, the result of selection is exported enters line program output to episode sequence output module 50；
Under intelligent mode, the intelligent program prediction module 40 is connected with episode sequence output module 50, is being trained
Cheng Hou, automatically selects program in episode sequence output module 50 according to the output of intelligent program prediction module 40, is exported；
When the sample size of certain sound scenery is not enough, intelligent program prediction module 40 selects immediate sound scenery, is transmitted to scene journey
Sequence output module 50 enters line program output；If without close sound scenery, choosing default program and being exported.
In specific embodiment, before the sample accumulation needed for completing training, the manual process selection key 20 is to program
The result of selection feeds back to the corresponding relation of manual process selecting module 30, record sound scenery and program, is expressed from the next：
Wherein, C is current sound scene, and P is the selected program of user, and i is sample sequence number.
After sample accumulation to predeterminable level, the training based on sample, 30 pairs of the manual process selecting module are carried out
The result of procedure selection is exported to intelligent program prediction module 40, counts the cumulative number used under every kind of sound scenery most
Program, determined by following formula：
Pc=FindMax { Pi| C=Ci}
Wherein, Pi is sound scenery when being Ci, the most program of the cumulative number used, and is set to output program
Pc。
After the completion of training, the output of intelligent scene identifying system 10 is connected with intelligent program prediction module 40, scene journey
The program that sequence output module 50 is exported is determined by following formula：
Wherein, Pc is output program；Pi is sound scenery when being Ci, the most program of the cumulative number used；Pj is
When selecting manual mode, frequency of use is higher than the Pi matched with Ci, then is matched by Pj instead of Pi with Ci；When selecting intelligent mode,
According to current sound scenery Ci, intelligent Matching selection Pi is used as output program Pc.
When the sample size in certain sound scenery is not enough, output program Pc is determined by following formula：
Wherein, C is the not enough sound scenery of sample size, and such as sound scenery Ci is approximate with C, and sound scenery Ci has therewith
The most program Pi of the cumulative number used matched somebody with somebody, then Pi be used as output program Pc；As do not found the sound scenery approximate with C
Ci, then default program PdefaultIt is used as output program Pc.
It is corresponding with said system, a kind of artificial cochlea's intelligent Forecasting is additionally provided, its flow chart is this referring to Fig. 2
A kind of step flow chart of artificial cochlea's intelligent Forecasting of inventive embodiments；
Comprise the following steps：
S101, intelligent scene identifying system judgement is presently in sound scenery, and manual or intelligent mode is selected according to user
Scene Recognition result is exported, before the sample accumulation needed for completing training, manual mode can only be selected；
S102, such as selection manual mode, then entered by pressing manual process selection key to current sound scene program thereby
Row selection；
S103, after sample accumulation to predeterminable level, carry out the training based on sample, i.e., with the result manually selected come
The corresponding relation of scene and program is trained；
S104, such as selection intelligent mode, then need to be after the completion of training, according to the output Intelligent Selection of intelligent program prediction module
Program is selected, is exported；
S105, when the sample size of certain sound scenery is not enough, intelligent program prediction module selects immediate sound scenery,
Enter line program output；If without close sound scenery, choosing default program and being exported；
Further, in S101, before the sample accumulation needed for completing training, manual mode can only be selected, and record
The corresponding relation of sound scenery and program, is expressed from the next：
Wherein, C is current sound scene, and P is the selected program of user, and i is sample sequence number.
Further, in S103, after sample accumulation to predeterminable level, the training based on sample is carried out, i.e., with manual
The result of selection is trained come the corresponding relation to scene and program, counts the cumulative number used under every kind of sound scenery
Most programs, is determined by following formula：
Pc=FindMax { Pi| C=Ci}
Wherein, Pi is sound scenery when being Ci, the most program of the cumulative number used, and is set to output program
Pc。
Further, in S104, after the completion of training, according to the output intelligent selection program of intelligent program prediction module,
Exported, the optional manual or intelligent mode of user, output program is determined by following formula：
Wherein, Pc is output program；Pi is sound scenery when being Ci, the most program of the cumulative number used；Pj is
When selecting manual mode, frequency of use is higher than the Pi matched with Ci, then is matched by Pj instead of Pi with Ci；When selecting intelligent mode,
According to current sound scenery Ci, intelligent Matching selection Pi is used as output program Pc.
Further, in S105, when the sample size of certain sound scenery is not enough, the selection of intelligent program prediction module is closest
Sound scenery, enter line program output；If without close sound scenery, choosing default program and being exported, output program Pc
Determined by following formula：
Wherein, C is the not enough sound scenery of sample size, and such as sound scenery Ci is approximate with C, and sound scenery Ci has therewith
The most program Pi of the cumulative number used matched somebody with somebody, then Pi be used as output program Pc；As do not found the sound scenery approximate with C
Ci, then default program PdefaultIt is used as output program Pc.
Specific embodiment will not be described here with reference to said system embodiment.
Finally illustrate, preferred embodiment above is merely illustrative of the technical solution of the present invention and unrestricted, although logical
Cross above preferred embodiment the present invention is described in detail, it is to be understood by those skilled in the art that can be
Various changes are made to it in form and in details, without departing from claims of the present invention limited range.
Claims (10)
1. a kind of artificial cochlea's intelligent predicting system, it is characterised in that including manual process selection key, manual process selection mould
Block, intelligent scene identifying system, intelligent program prediction module and episode sequence output module, wherein,
The intelligent scene identifying system is connected with intelligent program prediction module, and intelligent scene identifying system judges to be presently in sound
The scene results of identification are inputed to intelligent program prediction module by sound field scape；
The input of the manual process selection key is connected with manual process selecting module, presses manual process selection key to current sound
Sound field scape program thereby is selected, while the scene Recognition result that selection result and intelligent scene identifying system are inputted is carried out
Pairing, after sample accumulation to predeterminable level, the training based on sample is carried out to intelligent program prediction module；In manual mode
Under, the result of selection is exported enters line program output to episode sequence output module；
Under intelligent mode, the intelligent program prediction module is connected with episode sequence output module, after the completion of training, according to
The output of intelligent program prediction module automatically selects program in episode sequence output module, is exported；In certain sound scenery
Sample size it is not enough when, intelligent program prediction module selects immediate sound scenery, is transmitted to the progress of episode sequence output module
Program is exported；If without close sound scenery, choosing default program and being exported.
2. artificial cochlea's intelligent predicting system according to claim 1, it is characterised in that the sample needed for training is completed
Before accumulation, the manual process selection key feeds back to manual process selecting module to the result of procedure selection, records acoustic field
The corresponding relation of scape and program, is expressed from the next：
Wherein, C is current sound scene, and P is the selected program of user, and i is sample sequence number.
3. artificial cochlea's intelligent predicting system according to claim 1, it is characterised in that in sample accumulation to predeterminable level
Afterwards, the training based on sample is carried out, the manual process selecting module exports pre- to intelligent program to the result of procedure selection
Module is surveyed, the most program of the cumulative number used under every kind of sound scenery is counted, is determined by following formula：
Pc=FindMax { Pi| C=Ci}
Wherein, Pi is sound scenery when being Ci, the most program of the cumulative number used, and is set to output program Pc.
4. artificial cochlea's intelligent predicting system according to claim 1, it is characterised in that after the completion of training, intelligent field
The output of scape identifying system is connected with intelligent program prediction module, and the program of episode sequence output module output is determined by following formula：
Wherein, Pc is output program；Pi is sound scenery when being Ci, the most program of the cumulative number used；Pj is selection
During manual mode, frequency of use is higher than the Pi matched with Ci, then is matched by Pj instead of Pi with Ci；When selecting intelligent mode, according to
Current sound scenery Ci, intelligent Matching selection Pi is used as output program Pc.
5. artificial cochlea's intelligent predicting system according to claim 1, it is characterised in that the sample in certain sound scenery
When this amount is not enough, output program Pc is determined by following formula：
Wherein, C is the not enough sound scenery of sample size, and such as sound scenery Ci is approximate with C, and sound scenery Ci has matching
The most program Pi of the cumulative number that is used, then Pi be used as output program Pc；As do not found the sound scenery Ci approximate with C,
Then default program PdefaultIt is used as output program Pc.
6. artificial cochlea's intelligent Forecasting of one of a kind of use claim 1-5 system, it is characterised in that including following
Step：
The judgement of intelligent scene identifying system is presently in sound scenery, and manual or intelligent mode is selected by scene Recognition according to user
As a result export, before the sample accumulation needed for completing training, manual mode can only be selected；
Manual mode is such as selected, then current sound scene program thereby is selected by pressing manual process selection key；
After sample accumulation to predeterminable level, carry out the training based on sample, i.e., with the result manually selected come to scene and
The corresponding relation of program is trained；
Intelligent mode is such as selected, then, according to the output intelligent selection program of intelligent program prediction module, need to be entered after the completion of training
Row output；
When the sample size of certain sound scenery is not enough, intelligent program prediction module selects immediate sound scenery, enters line program
Output；If without close sound scenery, choosing default program and being exported.
7. artificial cochlea's intelligent Forecasting according to claim 1, it is characterised in that described needed for training is completed
Before sample accumulation, manual mode can only be selected, and records the corresponding relation of sound scenery and program, is expressed from the next：
Wherein, C is current sound scene, and P is the selected program of user, and i is sample sequence number.
8. artificial cochlea's intelligent Forecasting according to claim 1, it is characterised in that it is described in sample accumulation to default
After degree, the training based on sample is carried out, i.e., is instructed with the result manually selected come the corresponding relation to scene and program
Practice, count the most program of the cumulative number used under every kind of sound scenery, determined by following formula：
Pc=FindMax { Pi| C=Ci}
Wherein, Pi is sound scenery when being Ci, the most program of the cumulative number used, and is set to output program Pc.
9. artificial cochlea's intelligent Forecasting according to claim 1, it is characterised in that described after the completion of training, root
According to the output intelligent selection program of intelligent program prediction module, exported, the optional manual or intelligent mode of user, output program
Determined by following formula：
Wherein, Pc is output program；Pi is sound scenery when being Ci, the most program of the cumulative number used；Pj is selection
During manual mode, frequency of use is higher than the Pi matched with Ci, then is matched by Pj instead of Pi with Ci；When selecting intelligent mode, according to
Current sound scenery Ci, intelligent Matching selection Pi is used as output program Pc.
10. artificial cochlea's intelligent Forecasting according to claim 1, it is characterised in that described in certain sound scenery
When sample size is not enough, intelligent program prediction module selects immediate sound scenery, enters line program output；If without close sound
Scene, then choose default program and exported, output program Pc is determined by following formula：
Wherein, C is the not enough sound scenery of sample size, and such as sound scenery Ci is approximate with C, and sound scenery Ci has matching
The most program Pi of the cumulative number that is used, then Pi be used as output program Pc；As do not found the sound scenery Ci approximate with C,
Then default program PdefaultIt is used as output program Pc.
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| CN111372648A (en) * | 2018-06-19 | 2020-07-03 | 领先仿生公司 | System and method for detecting electrode lead proximity to cochlear tissue |
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