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Research on acquisition and recognition of Naxi speaker's speech information
- 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.
- Subjects :
- hidden markov models
speaker recognition
human computer interaction
speech recognition
natural language processing
interactive systems
gaussian processes
human–machine dialogue system
resource sharing
dongba culture worldwide
naxi speech recognition
inheritance needs
naxi dongba culture
naxi speaker recognition
text-independent speaker speech voice recognition
practical analysis method
naxi language-based human–computer interaction system
theoretically necessary analysis
ethnic folk cultures
ethnic cultural differences analysis
Engineering (General). Civil engineering (General)
TA1-2040
Subjects
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