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

• Main Authors: Guoxin Wu, Xiaoli Xu, Shanghong Wang, Xu Jia
• Format: Article
• Language: English
• Published: Wiley 2019-12-01
• Series: The Journal of Engineering
• 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
• Online Access: https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9117

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.