In this paper, a new robust speech recognition algorithm of multi-models and integrated decision(MMID) is proposed. A parallel MMID(PMMID) algorithm is developed. By using this new algorithm the advantages of different models can be integrated into one system. This algorithm uses different acoustic models at the same time based on DDBHMM (duration distribution based Hidden Markov Model). These different models include the channel-mismatch-correct (CMC) model, more-alternative-pronunciation model, tone and non-tone models of Chinese Mandarin speech, voice activity detection(VAD) model and state-skip model. The speech recognition accuracy of the multi-model system is better than that of single-model system in the adverse environments. The experimental results show that the error rate of the recognition system is 2.9% and reduced by 81% compared with the baseline system of the single-model.
Cite as: Pan, S., Liu, J., Jiang, J., Wang, Z., Lu, D. (1998) A novel robust speech recognition algorithm based on multi-models and integrated decision method. Proc. 5th International Conference on Spoken Language Processing (ICSLP 1998), paper 0413, doi: 10.21437/ICSLP.1998-334
@inproceedings{pan98_icslp,
author={Shengxi Pan and Jia Liu and Jintao Jiang and Zuoying Wang and Dajin Lu},
title={{A novel robust speech recognition algorithm based on multi-models and integrated decision method}},
year=1998,
booktitle={Proc. 5th International Conference on Spoken Language Processing (ICSLP 1998)},
pages={paper 0413},
doi={10.21437/ICSLP.1998-334}
}