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Research on acquisition and recognition of Naxi speaker's speech information

Authors :
Guoxin Wu
Xiaoli Xu
Shanghong Wang
Xu Jia
Source :
The Journal of Engineering (2019)
Publication Year :
2019
Publisher :
Wiley, 2019.

Abstract

The human–machine dialogue system allows people and the machine to communicate basically. This technology is also attracting more and more attention. It is conducive to the realisation of resource sharing, inheritance, and protection of Dongba culture worldwide to analyse the Naxi speech recognition for the protection and inheritance needs of Naxi Dongba culture. The model was established for Naxi speaker recognition, and the method is studied with text-independent speaker speech voice recognition. The practical analysis method was used to compare the application effect of Gaussian mixture model (GMM) and hidden Markov model (HMM) in the processing of speaker recognition in Naxi speaker's pronunciation. It is very useful to provide a theoretical basis for the establishment of a Naxi language-based human–computer interaction system to find out the speaker's voice characteristics, personality differences, and different regions. This is a theoretically necessary analysis of ethnic minority languages and the protection of ethnic and folk cultures. It can also provide practical significance for carrying out ethnic cultural differences analysis.

Details

Language :
English
ISSN :
20513305
Database :
Directory of Open Access Journals
Journal :
The Journal of Engineering
Publication Type :
Academic Journal
Accession number :
edsdoj.1b8167ed7b3a420d89485eec79ce1eda
Document Type :
article
Full Text :
https://doi.org/10.1049/joe.2018.9117