Accepted for/Published in: JMIR Medical Informatics
Date Submitted: Mar 12, 2020
Date Accepted: Mar 21, 2020
Date Submitted to PubMed: May 8, 2020
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Application of Small Word Isolated Word Speech Recognition System in the Field of Mental Health Consultation
ABSTRACT
Background:
Speech recognition is a technology that solves the problem of “understanding” human language by machines.
Objective:
It uses speech recognition of isolated words in small vocabulary in the field of mental health counseling.
Methods:
Through the software platform and psychological counseling users, a human-machine chat is established for you to chat with., And use voice recognition technology to pass the user's voice information to the software system. The software system analyzes and processes the user's voice information according to many internal related databases, and then gives the user accurate feedback data. And for users who need psychological treatment, after the system obtains the voice chat information, it will give psychological education to the user himself.
Results:
Based on the speech recognition system, the system mainly includes content such as speech extraction, endpoint detection, feature value extraction, training data, and speech recognition.
Conclusions:
The article adopts HMM hidden Markov model, based on multi-thread programming under VC2005 compilation environment, to realize the parallel operation of the algorithm and improve the efficiency of speech recognition. After the design is completed, simulation debugging is performed in the laboratory. The experimental results show that the designed program meets the basic requirements of the speech recognition system.
Citation
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Copyright
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