The Analysis of Influence Factors and Identification of Speaker-Dependent Primi Speech Recognition
Lin Guo, Yang Bai, Jie Su, Wen-lin Pan, Tian-jun Zhang
Available Online January 2016.
- https://doi.org/10.2991/icaita-16.2016.4How to use a DOI?
- isolated-word; primi language; HMM; speaker-dependent speech recognition
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - https://doi.org/10.2991/icaita-16.2016.4 ID - Guo2016/01 ER -