CN109671443B - Voice real-time monitoring system - Google Patents
Voice real-time monitoring system Download PDFInfo
- Publication number
- CN109671443B CN109671443B CN201710953416.9A CN201710953416A CN109671443B CN 109671443 B CN109671443 B CN 109671443B CN 201710953416 A CN201710953416 A CN 201710953416A CN 109671443 B CN109671443 B CN 109671443B
- Authority
- CN
- China
- Prior art keywords
- voice
- sound
- monitoring system
- real
- module
- 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.)
- Expired - Fee Related
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 33
- 238000001514 detection method Methods 0.000 claims abstract description 18
- 238000012545 processing Methods 0.000 claims abstract description 10
- 238000006243 chemical reaction Methods 0.000 claims abstract description 9
- 230000030279 gene silencing Effects 0.000 claims abstract description 7
- 230000007613 environmental effect Effects 0.000 claims abstract description 3
- 230000007246 mechanism Effects 0.000 claims description 10
- 230000008859 change Effects 0.000 claims description 8
- 230000009467 reduction Effects 0.000 claims description 3
- 210000001260 vocal cord Anatomy 0.000 description 13
- 238000010586 diagram Methods 0.000 description 4
- 208000011293 voice disease Diseases 0.000 description 4
- 230000007774 longterm Effects 0.000 description 3
- 230000002159 abnormal effect Effects 0.000 description 2
- 238000000034 method Methods 0.000 description 2
- 210000003205 muscle Anatomy 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 2
- 241000282693 Cercopithecidae Species 0.000 description 1
- 206010011224 Cough Diseases 0.000 description 1
- LFQSCWFLJHTTHZ-UHFFFAOYSA-N Ethanol Chemical compound CCO LFQSCWFLJHTTHZ-UHFFFAOYSA-N 0.000 description 1
- 206010030113 Oedema Diseases 0.000 description 1
- 208000037062 Polyps Diseases 0.000 description 1
- 206010036790 Productive cough Diseases 0.000 description 1
- 206010044684 Trismus Diseases 0.000 description 1
- 208000027418 Wounds and injury Diseases 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 230000006378 damage Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 210000002615 epidermis Anatomy 0.000 description 1
- 208000014674 injury Diseases 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 210000004717 laryngeal muscle Anatomy 0.000 description 1
- 210000000867 larynx Anatomy 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 238000003825 pressing Methods 0.000 description 1
- 230000002040 relaxant effect Effects 0.000 description 1
- 210000002345 respiratory system Anatomy 0.000 description 1
- 230000000391 smoking effect Effects 0.000 description 1
- 230000005236 sound signal Effects 0.000 description 1
- 208000024794 sputum Diseases 0.000 description 1
- 210000003802 sputum Anatomy 0.000 description 1
- 210000001519 tissue Anatomy 0.000 description 1
Images
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
- 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
- G10L21/02—Speech enhancement, e.g. noise reduction or echo cancellation
- G10L21/0208—Noise filtering
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
-
- 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
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/48—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use
- G10L25/51—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination
- G10L25/66—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00 specially adapted for particular use for comparison or discrimination for extracting parameters related to health condition
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Computational Linguistics (AREA)
- Public Health (AREA)
- Signal Processing (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Human Computer Interaction (AREA)
- Acoustics & Sound (AREA)
- Multimedia (AREA)
- General Health & Medical Sciences (AREA)
- Pathology (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Medical Informatics (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- Biophysics (AREA)
- Quality & Reliability (AREA)
- Veterinary Medicine (AREA)
- Epidemiology (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
The invention discloses a voice real-time monitoring system, which is used for detecting and analyzing voice use conditions of a user, such as speech speed or volume, and comprises the following components: the sound receiving device is used for continuously receiving the sound around the user, wherein the sound comprises a voice signal and an environment signal; the silencing module is electrically connected with the radio device and used for receiving sound, eliminating the environmental signal and remaining the voice signal; the voice frequency conversion module is electrically connected with the silencing module and used for receiving the voice signal and converting the voice signal into a linear pattern; the voice detection module is electrically connected with the audio conversion module and used for receiving the linear patterns, presetting a threshold value, comparing the linear patterns with the threshold value to form an output wave pattern, and defining a voice section and a non-voice section by the output wave pattern; the detection processing module is electrically connected with the voice detection module and is used for capturing the voice section and the non-voice section in a time interval to form a voice use index.
Description
Technical Field
The present invention relates to a system for detecting voice use, and more particularly, to a system for detecting voice use, which can detect whether voice use meets a predetermined normal range value in real time and allow a user to check the voice use at any time.
Background
Voice, particularly, refers to the sound produced by the human respiratory system in coordination with the larynx to vibrate the vocal cords to convey information.
Voice fatigue refers to the state that the voice band and the peripheral muscles of the voice band are fatigued due to frequent or improper sounding of the voice band, and in the sounding process, the cells or tissues of the epidermis of the voice band are in a fatigue, edema or injured state, if the voice band is still used for sounding without temporary rest, or alcohol, coffee or smoking is continuously drunk, the injury that the voice band is not easy to recover or is difficult to recover, such as long cocoon of the voice band, polyp of the voice band and the like, can be caused.
And general people can judge whether to avoid using voice continuously and have a rest to relieve fatigue through self preliminary inspection whether the following conditions occur: the voice or speech starts to be labored, muscles around the throat are felt to be tense, the volume or pitch is increased involuntarily while the voice is being produced, a small sound or a false sound which could be originally produced suddenly becomes impracticable, a situation occurs in which the voice is dull or rough, sputum suddenly becomes much more abundant, and the like.
Since the abnormal voice is mostly caused by excessive or improper continuous voice use for a long time, it is naturally the fundamental of treatment to adjust the voice-generating habit, slow down the speaking speed, and reduce the voice consumption.
However, long-term observation of clinical treatment shows that a large proportion of patients cannot easily immediately recognize that the timing point of excessive sound production or excessive volume should be timely adjusted to make immediate correction or rest, and usually the vocal cords are damaged only after abnormal voice or throat discomfort occurs.
Disclosure of Invention
The invention mainly aims to provide a system capable of monitoring, analyzing and recording the voice use condition in real time.
Another objective of the present invention is to provide a voice monitoring system that can be used with a remote medical assistance system, a wearable device, or an intelligent medical institution to display or record voice use status of a subject, so that the subject can check the voice use status immediately or afterwards, and detect and adjust voice use habits anytime and anywhere.
It is still another object of the present invention to provide a means for actively and immediately warning and reminding a user of the voice usage mode, wherein the voice quality is monitored in real time, and the system actively feeds back the monitoring result to the testee in real time, so that the testee can immediately adjust the vocal cord articulation time, speed or volume, or turn to sound loss for rest according to the displayed monitoring result.
To achieve the above object, the voice real-time monitoring system of the present invention is for detecting and analyzing voice usage of a user, and comprises:
a sound receiving device for continuously receiving sound around a user, wherein the sound comprises a voice signal emitted by the user and an environment signal generated by a non-user;
the silencing module is electrically connected with the sound receiving device and used for receiving the sound, eliminating the environment signal and remaining the voice signal;
the voice frequency conversion module is electrically connected with the silencing module and used for receiving the voice signal and converting the voice signal into a linear pattern which is simultaneously expressed by the energy size, namely a time axis;
a voice detection module, electrically connected to the audio conversion module, for receiving the linear pattern, presetting a threshold, comparing the linear pattern with the threshold to form an output waveform, and defining at least one voice section and at least one non-voice section by the output waveform; and
and the detection processing module is electrically connected with the voice detection module and is used for capturing the voice section and at least one non-voice section in a preset time interval to form a voice use index.
The noise reduction module is preset with a threshold value, the sound with the energy lower than the threshold value is set as the environment signal, and the signal with the energy equal to or higher than the threshold value is set as the voice information.
Wherein the linear pattern is formed by connecting a plurality of envelope lines in series.
And the voice section is composed of at least one square wave with large amplitude energy change representation.
The voice usage index is set as a proportion of the voice section or the non-voice section in the time interval, or a total time length of the voice section, or an amplitude width or an energy size of each voice section, so as to output different voice usage indexes.
In a preferred embodiment, the voice real-time monitoring system further comprises a screen for the user to view, the screen displaying a linear graph or a numerical value of the voice use pointer.
In another preferred and feasible embodiment, the voice real-time monitoring system further comprises an alarm mechanism, wherein the alarm mechanism is electrically connected with the detection processing module and keeps an original non-alarm state or changes the voice use index into an alarm state according to the voice use index.
The alert state includes: vibration, text, temperature, electromagnetic signals, pictures, color changes or flashing changes of lamp signals, and the like.
As can be seen from the foregoing description, the present invention is characterized in that: the system is designed to receive and analyze the voice condition in real time, and can be combined with a wearable device to be carried by a testee, so that the testee can monitor and check the record at any time, the actual voice using situation of the testee is known, and the system is beneficial to monitoring and improving the voice using habit of the testee for a long time;
or the voice monitoring system is combined with a remote medical auxiliary system and an intelligent medical institution for on-line, so that a testee can be linked with a hospital or a system for on-line or internet connection at home remotely, and the voice using condition at that time can be monitored by using an on-line system through an electronic product at any time.
In addition, the voice real-time monitoring system can be combined with a real-time reminding or warning mechanism, if a testee starts and uses the voice real-time monitoring system at the moment of sounding, when monitoring results such as too long voice, too large volume, hoarse sounding, audio frequency change and the like are used within preset time, the system can display a corresponding reminding result on a screen or can remind the testee to realize the use situation of the current vocal cords in a flashing manner through light, sounding warning sounds and the like, and judgment can be made on whether the testee needs to drink water to wet the throat, have a rest in a sound-trisection manner and change long-term sounding habits.
Drawings
FIG. 1 is a schematic diagram of the electrical connection of a voice real-time monitoring system and the voice use pointer generation process;
FIGS. 2A and 2B are schematic views illustrating a generation principle of the voice using pointer of FIG. 1;
FIG. 3 is a schematic diagram of a preferred embodiment of the threshold calculation equation of the speech detection module;
FIG. 4 is a diagram of a first preferred embodiment of a screen displaying the use status of a voice use pointer;
fig. 5 is a diagram of a second preferred embodiment of a screen displaying the use status of the voice use pointer.
Description of reference numerals: 1-voice real-time monitoring system; 2-a sound receiving device; 20- -voice signal; 21- -environmental signal; 22- -audio source data; 3- -silencing module; 30- -threshold; 4-audio conversion module; 40- -Linear pattern; 41- - -envelope curve; 5- -voice detecting module; 50- -output waveform; 51- -Voice section; 510- -square wave; 52- -non-speech segment; 6- -detecting and processing module; 60-voice use index; 7- -screen; 8-a warning mechanism; 80- -alert status; 81- -non-alert state.
Detailed Description
To facilitate a further clear and detailed understanding of the structure, use, and features of the present invention, reference is made to the following detailed description of preferred embodiments, which is to be read in connection with the accompanying drawings:
referring to fig. 1, fig. 2A and fig. 2B, the voice real-time monitoring system 1 of the present invention can be applied to remotely or personally monitor and record the long-term pronunciation habits and the real-time voice use conditions of a testee, so that the testee can gradually improve or instantly adjust the pronunciation conditions of the throat according to the pronunciation habits or the current vocal cord conditions of the testee, and the voice real-time monitoring system mainly comprises five parts, namely a sound receiving device 2, a silencing module 3, an audio conversion module 4, a voice detection module 5, a detection processing module 6, and the like, which are electrically connected with each other in sequence.
When the voice real-time monitoring system 1 provided by the invention is switched on by a user, the sound receiving device 2 can continuously and automatically receive the sound around the user, or when the user wants to start monitoring, the sound receiving device 2 can not continuously receive the sound around the user until the user presses a stop key after pressing a recording or input key, wherein the sound comprises a voice signal 20 emitted by the user and an environment signal 21 not generated by the user.
The voice signal 20 and the environment signal 21 are received by the sound pickup device 2 and converted into an electronic data form of the sound source data 22, and the signal format of the sound source data 22 can be set to be Waveform (wav), MPEG-1or MPEG-2Audio Layer III (mp 3), Free loss Audio Codec (flac), perfect Audio signal (pac), Monkey's Audio (ap), and other digital formats.
The sound source file 22 is transmitted to the sound deadening module 3 through the sound receiving device 2, the sound deadening module 3 is preset with a threshold 30, the sound with the energy of the sound source file 22 being lower than the threshold 30 is set as the environment signal 21, and the sound with the energy being equal to or higher than the threshold 30 is set as the voice signal 20.
Because the sound recorded by the sound receiving device 2 in each period of time is different in sound receiving degree and sound receiving clarity, the threshold 30 is set to be a floating numerical value, and the numerical value is changed corresponding to the strength of the recorded sound.
In addition, the voice signal 20 is transmitted to the audio conversion module 4 through the noise reduction module 3, the voice signal 20 is converted into a linear pattern 40 represented by an energy level, i.e., a time axis, wherein the linear pattern 40 is formed by connecting a plurality of envelope lines 41 according to energy peaks detected by the voice signal 20 per unit time, wherein the envelope lines 41 represent sounds at different frequencies.
The linear pattern 40 is transmitted to the voice detecting module 5 through the audio converting module 4, the voice detecting module 5 is preset with a threshold, and the linear pattern 40 is compared with the threshold to form an output waveform 50, and then at least one voice section 51 and at least one non-voice section 52 are defined by the output waveform 50, where in a preferred practical embodiment of the present invention, the voice section 51 is represented by at least one square wave 510 with a large amplitude energy variation.
Referring to fig. 3, it should be noted that the threshold is designed as a linear relationship between the current time and the energy peak data at the forward and backward time points, and is calculated by a predetermined equation: aX1+b2X2+c3X3Taking the peak data of the speech segment 51 in the output waveform 50 at the current time point as X3, taking the two peak data before the current time point as X1 and X2, and further, a, b, and c are three optimal parameter values obtained by an optimal algorithm, wherein the optimal algorithm is as follows: the parameters of a, b, c and the peak data of X1, X2, X3 vary according to factors such as the current pronunciation characteristics, the characteristics of environmental noise, the characteristics of language, or the characteristics of the front and back continuous expression between the square wave 510 and other square waves 510.
In a preferred embodiment, the threshold equation: aX1+b2X2+c3X3The three optimal parameter values of a, b and c are determined to be a-0.2639, b-0.2835 and c-0.9286 respectively, and the accuracy of the voice problem of the tested person is 95.4511% through comparison of the values calculated by the equation (see fig. 3).
Referring to fig. 1, fig. 2A and fig. 2B, the output waveform 50 is transmitted to the detection processing module 6 through the voice detection module 5, the detection processing module 6 captures the output waveform 50 in a predetermined time interval to form a voice usage indicator 60 in the unit time, and the voice usage indicator 60 can be set as a ratio of the voice section 51 or the non-voice section 52 to the time interval, which is used as a basis for determining whether the user speaks too much in the unit time and whether the rest time of using vocal cords is sufficient; the sum of the time lengths of all the voice sections 51 can also be used as the basis for judging whether the user speaks too much in the unit time or not and whether the rest time using the vocal cords is sufficient or not; the time length between the voice section 51 and the non-voice section 52 can be compared to determine whether the user has a too fast voice speed in the unit time; the energy between the voice section 51 and the non-voice section 52 can be compared to determine whether the user has a voice too loud or a vocal cord too hard in the unit time, and the different determination results output different voice usage indicators 60.
In addition, referring to fig. 4 and 5, in two preferred embodiments, the voice real-time monitoring system 1 provided by the present invention can be used in combination with a wearable device, a remote medical assistant system, and an intelligent medical institution having a display screen 7, wherein the screen 7 can display different voice using pointers 60, linear patterns, calculated values, or similar reminding characters that should pay attention to slowing of speaking speed, reducing of speaking volume, or requiring an trismus rest.
Therefore, the user can check the past or current monitored result at any time and compare the past voice using habit to self-check whether to successfully adjust or improve the original bad vocal cord using condition, thereby greatly improving the effect of fundamentally treating the individual voice fatigue or voice diseases.
Referring to fig. 4 and fig. 5, the voice real-time monitoring system 1 provided by the present invention can be used in cooperation with an alarm mechanism 8, the voice usage index 60 is transmitted to the alarm mechanism 8 through the detection processing module 6, and according to different voice usage indexes 60, the alarm mechanism 8 can maintain an original non-alarm state 81 or change to an alarm state 80, in a preferred feasible embodiment, the alarm state 81 includes: the color change or flashing change of the vibration, the character, the temperature, the electromagnetic signal, the picture and the lamp signal, etc. enables the user to use the pointer 60 without actively checking the voice displayed on the screen 7, and the signal transmitted by the warning state 81 is actively displayed for the user to know, so that the user can immediately monitor the voice of the user, immediately realize that the speaking speed needs to be slowed down, the speaking volume is reduced, or the vocal cords have the voice fatigue phenomenon, and even have to have a rest for coughing or drink water to moisten the throat.
In this way, in an ideal state, after the user actively views the screen 7 or is reminded by the warning mechanism 8, the user can temporarily stop the action of using the vocal cords originally, and then go to rest with music or perform exercise for relaxing the vocal cords and muscles around the vocal cords.
The foregoing description is intended to be illustrative rather than limiting, and it will be appreciated by those skilled in the art that many modifications, variations or equivalents may be made without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (8)
1. A voice real-time monitoring system for detecting and analyzing voice use status of a user, comprising:
a sound receiving device for receiving sound around a user, wherein the sound comprises a voice signal emitted by the user and an environment signal not generated by the user;
the silencing module is electrically connected with the sound receiving device and used for receiving the sound and eliminating the environmental signal to remain the voice signal;
the voice frequency conversion module is electrically connected with the silencing module and used for receiving the voice signal and converting the voice signal into a linear pattern which is simultaneously expressed by the energy size, namely a time axis;
a voice detection module, electrically connected to the audio conversion module, for receiving the linear pattern, presetting a threshold, comparing the linear pattern with the threshold to form an output waveform, and defining at least one voice section and at least one non-voice section by the output waveform; and
and the detection processing module is electrically connected with the voice detection module and is used for capturing the voice section and at least one non-voice section in a preset time interval to form a voice use index.
2. The voice real-time monitoring system of claim 1, wherein: the noise reduction module is preset with a threshold value, the sound with the energy lower than the threshold value is set as the environment signal, and the sound with the energy equal to or higher than the threshold value is set as the voice signal.
3. The voice real-time monitoring system of claim 1, wherein: the linear pattern is formed by connecting a plurality of envelope lines in series.
4. The voice real-time monitoring system of claim 1, wherein: the speech segment is composed of at least one square wave having a large amplitude energy variation representation.
5. The voice real-time monitoring system of claim 1, wherein: the voice usage index is set as a proportion of the voice section or the non-voice section in the time interval, or a total time length of the voice section, or an amplitude width or an energy size of each voice section, so as to output different voice usage indexes.
6. The voice real-time monitoring system of claim 1, wherein: the voice real-time monitoring system further comprises a screen for the user to view, wherein the screen is used for displaying linear graphs or numerical values of the voice using pointer.
7. The voice real-time monitoring system of claim 1, wherein: the voice real-time monitoring system further comprises a warning mechanism, wherein the warning mechanism is electrically connected with the detection processing module and keeps an original non-warning state or changes the voice non-warning state into a warning state according to the voice use index.
8. The voice real-time monitoring system of claim 7, wherein: the alert state includes: the color change or the flicker change of vibration, characters, temperature, electromagnetic signals, pictures and lamp signs.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710953416.9A CN109671443B (en) | 2017-10-13 | 2017-10-13 | Voice real-time monitoring system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710953416.9A CN109671443B (en) | 2017-10-13 | 2017-10-13 | Voice real-time monitoring system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109671443A CN109671443A (en) | 2019-04-23 |
| CN109671443B true CN109671443B (en) | 2020-10-23 |
Family
ID=66138772
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710953416.9A Expired - Fee Related CN109671443B (en) | 2017-10-13 | 2017-10-13 | Voice real-time monitoring system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109671443B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112687297B (en) * | 2020-12-21 | 2023-03-28 | 安徽讯飞医疗股份有限公司 | Voice state classification method and device, electronic equipment and storage medium |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103093759A (en) * | 2013-01-16 | 2013-05-08 | 东北大学 | Device and method of voice detection and evaluation based on mobile terminal |
| EP3072477A1 (en) * | 2015-03-23 | 2016-09-28 | CVUT V Praze, Fakulta Strojní | A vocal cord substitution and a method of tuning the vocal cord substitution |
| CN105962895A (en) * | 2016-04-26 | 2016-09-28 | 广东小天才科技有限公司 | User state reminding method and system |
-
2017
- 2017-10-13 CN CN201710953416.9A patent/CN109671443B/en not_active Expired - Fee Related
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103093759A (en) * | 2013-01-16 | 2013-05-08 | 东北大学 | Device and method of voice detection and evaluation based on mobile terminal |
| EP3072477A1 (en) * | 2015-03-23 | 2016-09-28 | CVUT V Praze, Fakulta Strojní | A vocal cord substitution and a method of tuning the vocal cord substitution |
| CN105962895A (en) * | 2016-04-26 | 2016-09-28 | 广东小天才科技有限公司 | User state reminding method and system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109671443A (en) | 2019-04-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102920435B (en) | Rehabilitation system and method based on real-time audio-visual feedback and promotion technology for speech production | |
| TWI557563B (en) | Emotion regulation system and regulation method thereof | |
| US10561362B2 (en) | Sleep assessment using a home sleep system | |
| US9724016B1 (en) | Respiration processor | |
| Van Stan et al. | Differences in weeklong ambulatory vocal behavior between female patients with phonotraumatic lesions and matched controls | |
| Taplidou et al. | Wheeze detection based on time-frequency analysis of breath sounds | |
| US8792975B2 (en) | Electroencephalogram measurement apparatus, method of estimating electrical noise, and computer program for executing method of estimating electrical noise | |
| WO2020238954A1 (en) | Apnea monitoring method and device | |
| Qian et al. | Automatic detection, segmentation and classification of snore related signals from overnight audio recording | |
| Folland et al. | Processing simultaneous auditory objects: Infants’ ability to detect mistuning in harmonic complexes | |
| KR101092473B1 (en) | A Method and a Apparatus for Detection of Baby Crying Using Frequency Pattern | |
| CN110742603A (en) | Brain wave audible mental state detection method and system for realizing same | |
| JP2008161657A (en) | Method and device for monitoring unrestraint life rhythm | |
| JP2019513437A (en) | Fetal movement monitoring system and method | |
| JP3728895B2 (en) | Exercise intensity detector | |
| CN109671443B (en) | Voice real-time monitoring system | |
| CN113520343A (en) | Sleep risk prediction method and device and terminal equipment | |
| Wang et al. | Obstructive sleep apnea detection based on sleep sounds via deep learning | |
| JP2009233103A (en) | Cough detector and its program | |
| Luo et al. | Design of embedded real-time system for snoring and OSA detection based on machine learning | |
| CN207024063U (en) | A kind of active multiple spot enterocinesia monitoring device for lifting gurgling sound discrimination | |
| CN107961008B (en) | Auxiliary device and method for rapidly acquiring resting metabolic rate | |
| CN112107771A (en) | Sleep-aiding control method, system and device based on photoelectric detection | |
| TWI626647B (en) | Real-time Monitoring System for Phonation | |
| TW201617104A (en) | Auxiliary system and method for aiding sleep |
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 | ||
| CB03 | Change of inventor or designer information | ||
| CB03 | Change of inventor or designer information |
Inventor after: Wang Qide Inventor after: Fang Shihao Inventor after: Cao Yu Inventor after: Lai Yinghui Inventor after: Lin Fengquan Inventor before: Wang Qide |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20201023 |