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Application of Automatic Speech Recognition (ASR) Algorithm in Smart Home
Author(s) -
Hong Chen,
Bo Zhang
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1237/2/022133
Subject(s) - hidden markov model , speech recognition , computer science , home automation , matching (statistics) , markov model , markov chain , machine learning , telecommunications , mathematics , statistics
Study on practical ASR system for smart home had significant meanings for the development of the smart home. Through analysis of embedded ASR technology and the control technology of smart home, people could utilize VS1003 to record the speech for audio decoder chip by taking the NL6621 template as the platform. And, the ASR system on smart home could be realized by utilizing the Hidden Markov Model (HMM) algorithm to conduct speech model training and speech matching. Test showed that, the ASR system has relatively high recognition rate and real-time property.

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