The Analysis of Influence Factors and Identification of Speaker-Dependent Primi Speech Recognition

DOI

10.2991/icaita-16.2016.4How to use a DOI?

Keywords

isolated-word; primi language; HMM; speaker-dependent speech recognition

Abstract

The research object is an endangered minority language of Primi on the southern dialect. This paper takes isolated-word of Primi as the primitive and uses large vocabulary of speech corpora based on HTK. The effect of different quantity of vocabularies, the sample ratio of training and testing, and the data quality on recognition rate of speaker-dependent were investigated. In addition, the identification of speaker-dependent acoustic model were compared. The experimental results show that the high quality data can improve the recognition rate and has little effect on the recognition rate in the vocabulary size.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Lin Guo
AU  - Yang Bai
AU  - Jie Su
AU  - Wen-lin Pan
AU  - Tian-jun Zhang
PY  - 2016/01
DA  - 2016/01
TI  - The Analysis of Influence Factors and Identification of Speaker-Dependent Primi Speech Recognition
BT  - Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications
PB  - Atlantis Press
SP  - 14
EP  - 17
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaita-16.2016.4
DO  - 10.2991/icaita-16.2016.4
ID  - Guo2016/01
ER  -