Codebook Design Method Based on Genetic Algorithm for Chinese Continuous Digital Speech Recognition
Wei Yanna, Zhao Liyan
Available Online November 2013.
- https://doi.org/10.2991/icmt-13.2013.16How to use a DOI?
- Speech recognition·Vector quantization·Linde-Buzo-Gray algorithm·Genetic algorithm
- Vector quantization is one of model training and pattern matching technologies with good performance which is applied to speech recognition at present. The traditional Linde-Buzo-Gray (LBG) algorithm is easy to get the local optimal result in the process of codebook design. According to capability of getting global optimal, genetic algorithm (GA) is used to improve the quality of codebook. The new algorithm is applied to mandarin continuous digit speech recognition and implementation procedure is given in detail. The experiments show it is more effective than traditional LBG algorithm, especially in condition of lower SNR.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Wei Yanna AU - Zhao Liyan PY - 2013/11 DA - 2013/11 TI - Codebook Design Method Based on Genetic Algorithm for Chinese Continuous Digital Speech Recognition BT - 3rd International Conference on Multimedia Technology(ICMT-13) PB - Atlantis Press SP - 126 EP - 133 SN - 1951-6851 UR - https://doi.org/10.2991/icmt-13.2013.16 DO - https://doi.org/10.2991/icmt-13.2013.16 ID - Yanna2013/11 ER -