CN110074780A - A kind of music pattern adjusting method based on ERP technology - Google Patents

A kind of music pattern adjusting method based on ERP technology Download PDF

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Publication number
CN110074780A
CN110074780A CN201910339846.0A CN201910339846A CN110074780A CN 110074780 A CN110074780 A CN 110074780A CN 201910339846 A CN201910339846 A CN 201910339846A CN 110074780 A CN110074780 A CN 110074780A
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China
Prior art keywords
music
music track
audience
tested
erp
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Pending
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CN201910339846.0A
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Chinese (zh)
Inventor
高明星
朱守林
方淑艳
刘凤娇
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Inner Mongolia Agricultural University
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Inner Mongolia Agricultural University
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Priority to CN201910339846.0A priority Critical patent/CN110074780A/en
Publication of CN110074780A publication Critical patent/CN110074780A/en
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    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Measuring for diagnostic purposes; Identification of persons
    • A61B5/24Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316Modalities, i.e. specific diagnostic methods
    • A61B5/369Electroencephalography [EEG]
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61MDEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
    • A61M21/00Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
    • A61M21/02Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis for inducing sleep or relaxation, e.g. by direct nerve stimulation, hypnosis, analgesia
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61MDEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
    • A61M21/00Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis
    • A61M2021/0005Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis by the use of a particular sense, or stimulus
    • A61M2021/0027Other devices or methods to cause a change in the state of consciousness; Devices for producing or ending sleep by mechanical, optical, or acoustical means, e.g. for hypnosis by the use of a particular sense, or stimulus by the hearing sense

Abstract

The present invention relates to audio signal processing technique field, especially a kind of music pattern adjusting method based on ERP technology.It includes S1, chooses audition music track;The achievement data of S2, the average frequency for extracting audition music track and loudness;S3, the achievement data of audition music track is adjusted so that average frequency is between 147.81Hz-172.63Hz, loudness is between -24.9dB to -21.36dB, music track is tested in formation;S4, tested audience obtain the physiological brain reaction signal data of tested audience using ERP brain electricity event analysis technology during listening to test music purpose;S5, step S3 is executed according to the physiological brain reaction signal data of acquisition and the subjective feeling score data of tested audience, to adjust the achievement data of audition music track, to form optimization music track.The present invention using ERP brain electricity event analysis technology be it is leading frequency, the loudness performance indicator of music track are adjusted, form the music pattern that can fast and effeciently alleviate audience's fatigue, make it is battle-weary can be by rapid recovery.

Description

A kind of music pattern adjusting method based on ERP technology
Technical field
The present invention relates to audio signal processing technique field, it is especially a kind of based on ERP technology and can be relieved fatigue music mould Formula adjusting method.
Background technique
Currently, it is varied for alleviation method used by physiology and mental fatigue, for example pass through edible Chinese yam or Chinese holly The vegetables group food such as Qi carry out fatigue mitigation, by contraction of muscle move etc. to alleviate sports fatigue, by taking gen-seng haulms The medicaments such as soap alleviate physical fatigue, alleviate mental fatigue etc. by psychological consultation etc., although such mode is in fatigue mitigation Curative effect in terms of significant effect, but there is also obvious shortcomings, and such as: 1, medical research shows: vegetables group food exists The intracorporal digestion time of people is generally 45 to 120 minutes, the people under the tense situation in the modern life, and being generally realized that needs It has been often extremely tired state when carrying out fatigue mitigation, it is clear that it is slow that fatigue is carried out by way of feeding food Solution, speed is relatively slow and the public's demand that is unable to satisfy under animation instantly.2, fatigue mitigation is carried out by muscular movement, mainly It is to be directed to external body, and the fatigue of mental worker is typically embodied as cervical vertebra, waist ache, and not close to limb muscle; Therefore, good relaxation effect can not be played by making the movement of active contraction of muscle at this time.3, by taking the medicines such as gen-seng haulms soap Agent carries out fatigue mitigation, and in view of the economic situation of the public, difference, the price of the medicaments such as gen-seng haulms soap often allow people to hope And step back.4, fatigue mitigation is carried out by psychological consultation mode, towards audient be generally students, society in people with high income, If school can provide free good psychological consultation environment and the good psychological counselor of qualification, society income personage on the middle and senior level is then There is certain economic base to be provided with the relatively expensive psychological consultation expense of price paid, so that the audient of such method is few, applicable Range is small.
The wake-up theoretical (Arousal theory) that Yerkse and Dodson is proposed thinks that music has arousal function, favorably In maintaining vigilance, active consciousness, improvement mood, the later period has largely also just also confirmed this viewpoint.It can be into one based on this principle Relaxation effect of the step research music pattern to mental fatigue, therefore, it is necessary to which it is real to propose that a kind of mode by adjusting music is come The scheme of existing fatigue mitigation purpose.
Summary of the invention
In view of the deficiency of the prior art, the purpose of the present invention is to provide a kind of music based on ERP technology Mode regulating method.
To achieve the goals above, the present invention adopts the following technical scheme:
A kind of music pattern adjusting method based on ERP technology, it includes the following steps:
S1, audition music track is chosen;
The achievement data of S2, the average frequency for extracting audition music track and loudness;
S3, the achievement data of audition music track is adjusted so that average frequency is between 147.81Hz-172.63Hz, rings Degree forms test music track between -24.9dB to -21.36dB;
S4, tested audience are obtained tested during listening to test music purpose using ERP brain electricity event analysis technology The physiological brain reaction signal data of audience;
S5, step is executed according to the physiological brain reaction signal data of acquisition and the subjective feeling score data of tested audience Rapid S3, to adjust the achievement data of audition music track, to form optimization music track.
Preferably, the audition music track is that the popular music track of each kind of groups or tested audience is suitble to like Individualized music song.
Preferably, the audition music track is the popular music for being suitble to each kind of groups obtained by questionnaire survey Mesh.
Preferably, it in the step S2, amputates the climax period in audition music track and is repeated for the second time to n-th weight The tonal range of multiple period, extracts the average frequency of remaining audio segment and the achievement data of loudness in audition music track.
Preferably, in step s3, the second harmonic component in audition music track is adjusted using frequency equalizer It is whole, it is in average frequency between 147.81Hz-172.63Hz;It will be sent out via audition music track using reverberator and delayer It is formed by reflected acoustic signal out and after being reflected to be merged with the original audio signal of audition music track, makes audition sound Melody purpose loudness is between -24.9dB to -21.36dB.
Preferably, in step s 4, firstly, making tested audience under no music environment and utilizing ERP brain electricity event point Analysis technology obtains the physiological brain reaction signal data of tested audience at this time, to form blank control data;Then, make tested Audience is under test music purpose playing environment and obtains the big of tested audience at this time using ERP brain electricity event analysis technology Brain physiological reaction signal data, to form practical physiological reaction signal data.
Preferably, in step s 4, so that tested audience is in multiple and different test music tracks and make the ring of played in order Under border, the physiological brain reaction signal data of tested audience at this time are obtained using ERP brain electricity event analysis technology, with formation and often The corresponding practical physiological reaction signal data of a test music track.
Preferably, multiple and different test music tracks makees played in order with quantitative time interval, and time interval is Between 5s-2min.
As the above scheme is adopted, the present invention utilizes frequency, loudness of the ERP brain electricity event analysis technology to music track Etc. performance indicators be adjusted, the music pattern of audience's fatigue can fast and effeciently be alleviated by being formed, make it is battle-weary can be fast Speed is alleviated;This mode is highly-safe, low in cost, easy to operate, and audience can select personalization according to the hobby of itself Music track.
Detailed description of the invention
Fig. 1 is the testing process of the embodiment of the present invention with reference to figure;
Fig. 2 is the principle process of the embodiment of the present invention with reference to figure;
Fig. 3 is the equal power level fluctuations figure of θ popin of the embodiment of the present invention.
Specific embodiment
The embodiment of the present invention is described in detail below in conjunction with attached drawing, but the present invention can be defined by the claims Implement with the multitude of different ways of covering.
A kind of music pattern adjusting method based on ERP technology provided in this embodiment, it includes the following steps:
S1, audition music track is chosen, such as wechat, music player software can be used in the selection standard of audition music track The modes such as network surveyings questionnaire are waited to obtain the popular music track for being suitble to each kind of groups, it can also be by tested audience according to itself The personalized music track of hobby selection;
The achievement data of S2, the average frequency for extracting audition music track and loudness, in the process using Adobe The music makings software such as Audition is by analyzing the linear maps such as frequency, loudness in audition music track, thus realization pair The extraction of corresponding index data;Wherein, not fully identical due to controlling the frequency being raised to, therefore average frequency data can be used as finger Mark one of data target the most reliable in data;
S3, the achievement data of audition music track is adjusted so that average frequency is between 147.81Hz-172.63Hz, rings Degree forms test music track between -24.9dB to -21.36dB;
S4, tested audience are obtained tested during listening to test music purpose using ERP brain electricity event analysis technology The physiological brain reaction signal data of audience;
S5, step is executed according to the physiological brain reaction signal data of acquisition and the subjective feeling score data of tested audience Rapid S3, to further adjust and optimize the achievement data of audition music track so that music track index is in tested audience In the data area most preferably relieved fatigue, to ultimately form optimization music track so that tested audience or other masses carry out Later period listens to, to achieve the purpose that relieve fatigue.
It is chosen as a result, by popular music track (that is: in each age group group higher music of acceptance Mesh) it is used as audition music track, note is reduced by the adjustment of the performance indicators such as frequency, loudness to audition music track Frequency influences the repetition of tested audience or specific stimulation, and obtained using ERP brain electricity event analysis technology it is adjusted after examination Listening to music song (that is: test music track) influences data to the Electroencephalo of tested audience and the subjective of tested audience is combined to feel (that is: the completion pair of the adjustment to the final performance data of audition music track is realized by (that is: intensity grade relieved fatigue etc.) The adjusting of music pattern), and be formed by the music track optimized the most based on this and then carry out tired delay for most of audience Solution uses.Meanwhile it can be used as based on related data obtained in whole process and performance indicator carried out to other music tracks The reference data of adjusting enables audience according to the need of itself to obtain relatively uniform normative music pattern adjustment mode The music for asking selection to be modified carries out fatigue mitigation.In addition, the entire method of the present embodiment can make individual character according to different crowd That changes is customized, to make the personal fatigue mitigation music for having and being specific to itself, it is slow to reach fast and effeciently progress fatigue The effect of solution.
For that can guarantee to carry out reliably adjusting and optimizing to music performance indicator, in step s 2, audition music is amputated It climax period in mesh and repeats (mainly to avoid the audio of repetition to the tonal range of n-th repetition interval for the second time The Special Influence of frequency range or the tonal range of song climax parts to audience), to extract remaining sound in audition music track The average frequency of frequency segment and the achievement data of loudness, using using extract achievement data as adjust music track content.
To be reasonably adjusted to the performance indicator of music track, in step s3, using devices such as frequency equalizers Part is adjusted the second harmonic component in audition music track so that average frequency be in 147.81Hz-172.63Hz it Between;Reflected acoustic is formed by after issuing and reflected via audition music track using devices such as reverberator and delayers to believe Number merged with the original audio signal of audition music track so that the loudness of audition music track be in -24.9dB to - Between 21.36dB.
In step s 4, firstly, make tested audience under no music environment and using ERP brain electricity event analysis technology come The physiological brain reaction signal data of tested audience at this time are obtained, to form blank control data;Then, make at tested audience In the physiological brain tested under music purpose playing environment and ERP brain electricity event analysis technology is utilized to obtain tested audience at this time Reaction signal data, to form practical physiological reaction signal data.As a result, by comparing contrasting data and physiological reaction data, It can effectively ensure music track to the stimulus effects effect of audience, for final optimization pass music track and to be formed and can be relieved fatigue Music pattern accurate data be provided support.
It is adjusted to be capable of the mode of reasonably music track, in step s 4, tested audience is made to be in multiple and different Test music track and in the environment of making played in order obtains the big of tested audience at this time using ERP brain electricity event analysis technology Brain physiological reaction signal data, to form practical physiological reaction signal data corresponding with each test music track.As a result, By the way that multiple and different test music are combined played in order, the result of physiological reaction data is enabled to take into account a variety of music Integrated mode, to create conditions for targetedly optimization music track.
To be to the maximum extent that adjusting and optimizing music track creates reasonable environmental condition, guarantee to music performance indicator number According to the accuracy of optimization, multiple and different test music tracks makees played in order with quantitative time interval, and time interval is Between 5s-2min.With this, by being spaced the brain shape played before can be achieved to stablize the mood of tested audience, being familiar with listening music The function of state, the conclusion being in the period of 5s-2min based on short-term memory given by psychopedagogy, posterior song are wanted It just will do it broadcasting after preceding song finishes 5s-2min, to can avoid previous first song to audience's brain electric information Influence retain to next song, avoid adjustment process by unnecessary interference.
In conclusion the entire method of the present embodiment can refer to process shown in FIG. 1 and principle steps shown in Fig. 2 are come It realizes, it may be assumed that 1, selected music track and tested audience;2, the adjustment of performance quantification of targets is carried out to selected music track;3, base The Electroencephalo of tested audience is obtained when tested audience listens to the music track being adjusted in ERP brain electricity event analysis technology Index;4, performance of the scoring for the feeling alleviated in conjunction with the Subjective fatigue of Electroencephalo index and tested audience to music track Index optimizes adjustment;5, formed have relieve fatigue function music pattern or with data above-mentioned to other music into Row appropriateness analysis and regulation.
It is selected for the exploitativeness and beneficial effect for sufficiently verifying entire method based on method provided by the present embodiment 45 students (32 people of boy student, 13 people of schoolgirl) by nervous study half a day (8:00-12:00) are selected as test object, will be surveyed Examination object is randomly divided into three groups, and every group of 15 people, point test in three days is completed, 5 people of daily test/every group;Wherein, it is tied to guarantee to test The accuracy and ornamental of fruit guarantee the object to take one's test or group while meeting the following conditions: 1, the object to take one's test It can only drink water before being tested on the day of, the excitant foods such as snacks, coffee for drinking cannot be eaten, and do not have lunch after class, reach After laboratory and mood calm down 10min, directly take one's test;Testing time is 3min.2, first group of average age is 22 ± 1.3 Year, second group of average age are 22 ± 2.7 years old, third group average age is 21 ± 1.8 years old.
First group of test object is tested using the method for the present embodiment.Melody that second group of test object is selected and the One group identical, but the average frequency of melody and perceived loudness are not adjusted.Any music is not configured in third group test object, directly Tap into capable test of sitting quietly.Every group before testing with carry out brain wave analysis after test respectively, extract the equal power level fluctuations of θ popin (as shown in Figure 3), while Subjective fatigue degree amount Score Lists are filled in, it calculates score value (being shown in Table one).
From Fig. 3 and table one it can be found that: react the θ wave of physiological fatigue, decline in the first set it is the most obvious, and the Three groups of decline the most slowly.Therefore, the method for the present embodiment has the effect of significantly relieving fatigue.
The above description is only a preferred embodiment of the present invention, is not intended to limit the scope of the invention, all utilizations Equivalent structure or equivalent flow shift made by description of the invention and accompanying drawing content is applied directly or indirectly in other correlations Technical field, be included within the scope of the present invention.

Claims (8)

1. a kind of music pattern adjusting method based on ERP technology, it is characterised in that: it includes the following steps:
S1, audition music track is chosen;
The achievement data of S2, the average frequency for extracting audition music track and loudness;
S3, the achievement data of audition music track is adjusted so that average frequency is between 147.81Hz-172.63Hz, at loudness Between -24.9dB to -21.36dB, test music track is formed;
S4, tested audience obtain tested audience using ERP brain electricity event analysis technology during listening to test music purpose Physiological brain reaction signal data;
S5, step is executed according to the physiological brain reaction signal data of acquisition and the subjective feeling score data of tested audience S3, to adjust the achievement data of audition music track, to form optimization music track.
2. a kind of music pattern adjusting method based on ERP technology as described in claim 1, it is characterised in that: the audition Music track is the individualized music song for being suitble to the popular music track or tested audience hobby of each kind of groups.
3. a kind of music pattern adjusting method based on ERP technology as claimed in claim 2, it is characterised in that: the audition Music track is the popular music track for being suitble to each kind of groups obtained by questionnaire survey.
4. a kind of music pattern adjusting method based on ERP technology as described in claim 1, it is characterised in that: the step In S2, amputates the climax period in audition music track and repeated for the second time to the tonal range of n-th repetition interval, extract examination Listen to music the achievement data of the average frequency of remaining audio segment and loudness in song.
5. a kind of music pattern adjusting method based on ERP technology as described in claim 1, it is characterised in that: in step S3 In, the second harmonic component in audition music track is adjusted using frequency equalizer, is in average frequency Between 147.81Hz-172.63Hz;Institute's shape after issuing and be reflected via audition music track using reverberator and delayer At reflected acoustic signal merged with the original audio signal of audition music track, at the loudness for making audition music track Between -24.9dB to -21.36dB.
6. a kind of music pattern adjusting method based on ERP technology as described in claim 1, it is characterised in that: in step S4 In, firstly, making tested audience under no music environment and the tested audience using the acquisition of ERP brain electricity event analysis technology at this time Physiological brain reaction signal data, to form blank control data;Then, make tested audience be in test music purpose to broadcast The physiological brain reaction signal data that tested audience at this time is obtained under environment and using ERP brain electricity event analysis technology are put, with shape At practical physiological reaction signal data.
7. a kind of music pattern adjusting method based on ERP technology as claimed in claim 6, it is characterised in that: in step S4 In, in the environment of so that tested audience is in multiple and different test music tracks and is made played in order, utilize ERP brain electricity event analysis Technology obtains the physiological brain reaction signal data of tested audience at this time, to form reality corresponding with each test music track Border physiological reaction signal data.
8. a kind of music pattern adjusting method based on ERP technology as claimed in claim 7, it is characterised in that: multiple and different Test music track played in order is made with quantitative time interval, and time interval is between 5s-2min.
CN201910339846.0A 2019-04-25 2019-04-25 A kind of music pattern adjusting method based on ERP technology Pending CN110074780A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110787354A (en) * 2019-10-21 2020-02-14 广州启德星教育科技有限公司 Audio development mental method, device and medium
CN114281191A (en) * 2021-12-20 2022-04-05 咪咕音乐有限公司 Song auditioning method, terminal equipment and readable storage medium

Citations (17)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5667470A (en) * 1994-02-08 1997-09-16 Jiri Janata Apparatus and method for using listener feedback to determine the nature of sound stimuli presented to the listener
US20020041692A1 (en) * 2000-10-10 2002-04-11 Nissan Motor Co., Ltd. Audio system and method of providing music
JP2002169574A (en) * 2000-11-29 2002-06-14 Daiichikosho Co Ltd Music reproducing device for music therapy
US20070084473A1 (en) * 2005-10-14 2007-04-19 Transparent Corporation Method for incorporating brain wave entrainment into sound production
CN200994592Y (en) * 2006-09-29 2007-12-26 上海惠诚咨询有限公司 Feedback muscial relaxing chair
US20100191037A1 (en) * 2007-06-01 2010-07-29 Lorenzo Cohen Iso music therapy program and methods of using the same
CN102664017A (en) * 2012-04-25 2012-09-12 武汉大学 Three-dimensional (3D) audio quality objective evaluation method
CN102682761A (en) * 2011-03-12 2012-09-19 谢津 Personalized system and device for sound processing
CN203706669U (en) * 2014-03-04 2014-07-09 江西科技学院 Brain wave self-adapting audio player
CN104548309A (en) * 2015-01-05 2015-04-29 浙江工业大学 Device and method for adjusting driver emotional state through different affective characteristic music
US20150297109A1 (en) * 2014-04-22 2015-10-22 Interaxon Inc. System and method for associating music with brain-state data
CN105268080A (en) * 2014-06-04 2016-01-27 王振兴 Emotion regulation and control system and method
CN105536119A (en) * 2016-02-22 2016-05-04 南京邮电大学 Self-adaptive heart sound hypnotic music generation method based on heart sound control
CN106057208A (en) * 2016-06-14 2016-10-26 科大讯飞股份有限公司 Audio correction method and device
CN107423352A (en) * 2017-05-25 2017-12-01 杭州回车电子科技有限公司 Music recommends method and system
CN108404274A (en) * 2018-02-09 2018-08-17 上海康斐信息技术有限公司 A kind of automatic sound regulating method and equipment
CN108804072A (en) * 2018-06-13 2018-11-13 广州酷狗计算机科技有限公司 Audio-frequency processing method, device, storage medium and terminal

Patent Citations (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5667470A (en) * 1994-02-08 1997-09-16 Jiri Janata Apparatus and method for using listener feedback to determine the nature of sound stimuli presented to the listener
US20020041692A1 (en) * 2000-10-10 2002-04-11 Nissan Motor Co., Ltd. Audio system and method of providing music
JP2002169574A (en) * 2000-11-29 2002-06-14 Daiichikosho Co Ltd Music reproducing device for music therapy
US20070084473A1 (en) * 2005-10-14 2007-04-19 Transparent Corporation Method for incorporating brain wave entrainment into sound production
US7674224B2 (en) * 2005-10-14 2010-03-09 Vitrepixel Holdings, Llc Method for incorporating brain wave entrainment into sound production
CN200994592Y (en) * 2006-09-29 2007-12-26 上海惠诚咨询有限公司 Feedback muscial relaxing chair
US20100191037A1 (en) * 2007-06-01 2010-07-29 Lorenzo Cohen Iso music therapy program and methods of using the same
CN102682761A (en) * 2011-03-12 2012-09-19 谢津 Personalized system and device for sound processing
CN102664017A (en) * 2012-04-25 2012-09-12 武汉大学 Three-dimensional (3D) audio quality objective evaluation method
CN203706669U (en) * 2014-03-04 2014-07-09 江西科技学院 Brain wave self-adapting audio player
US20150297109A1 (en) * 2014-04-22 2015-10-22 Interaxon Inc. System and method for associating music with brain-state data
CN105268080A (en) * 2014-06-04 2016-01-27 王振兴 Emotion regulation and control system and method
CN104548309A (en) * 2015-01-05 2015-04-29 浙江工业大学 Device and method for adjusting driver emotional state through different affective characteristic music
CN105536119A (en) * 2016-02-22 2016-05-04 南京邮电大学 Self-adaptive heart sound hypnotic music generation method based on heart sound control
CN106057208A (en) * 2016-06-14 2016-10-26 科大讯飞股份有限公司 Audio correction method and device
CN107423352A (en) * 2017-05-25 2017-12-01 杭州回车电子科技有限公司 Music recommends method and system
CN108404274A (en) * 2018-02-09 2018-08-17 上海康斐信息技术有限公司 A kind of automatic sound regulating method and equipment
CN108804072A (en) * 2018-06-13 2018-11-13 广州酷狗计算机科技有限公司 Audio-frequency processing method, device, storage medium and terminal

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110787354A (en) * 2019-10-21 2020-02-14 广州启德星教育科技有限公司 Audio development mental method, device and medium
CN114281191A (en) * 2021-12-20 2022-04-05 咪咕音乐有限公司 Song auditioning method, terminal equipment and readable storage medium

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