Acoustic modeling with contextual additive structure for HMM-based speech recognition
暂无分享,去创建一个
[1] K. Nakajima,et al. Speech recognition using dynamic transformation of phoneme templates depending on acoustic/phonetic environments , 1989, International Conference on Acoustics, Speech, and Signal Processing,.
[2] George Zavaliagkos,et al. Convolutional density estimation in hidden Markov models for speech recognition , 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).
[3] Koichi Shinoda,et al. MDL-based context-dependent subword modeling for speech recognition , 2000 .
[4] Jj Odell,et al. The Use of Context in Large Vocabulary Speech Recognition , 1995 .
[5] Keiichi Tokuda,et al. An adaptive algorithm for mel-cepstral analysis of speech , 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.