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Combining LVQ with continuous density hidden Markov models in speech recognition

机译：在语音识别中将LVQ与连续密度隐藏Markov模型相结合

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Mikko Kurimo; Kari Torkkola;
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专利

1. A Speech Recognition IC Using Hidden Markov Models with Continuous Observation Densities [J] . WEI HAN, KWOK-WAI HON, CHEONG-FAT CHAN, Journal of VLSI signal processing systems . 2007,第3期

机译：使用具有连续观察密度的隐马尔可夫模型的语音识别IC
2. On-line adaptive learning of the correlated continuous density hidden Markov models for speech recognition [J] . Qiang Huo, Chin-Hui Lee IEEE Transactions on Speech and Audio Proceeding . 1998,第4期

机译：语音识别相关连续密度隐马尔可夫模型的在线自适应学习
3. Application of continuous state Hidden Markov Models to a classical problem in speech recognition [J] . Colin Champion, S.M. Houghton Computer speech and language . 2016,第Mara期

机译：连续状态隐马尔可夫模型在语音识别经典问题中的应用
4. Combining LVQ with continuous-density hidden Markov models in speech recognition [C] . Mikko Kurimo, Helsinki Univ. of Technology, Helsinki, Neural and Stochastic Methods in Image and Signal Processing . 1992

机译：将LVQ与连续密度隐马尔可夫模型相结合进行语音识别
5. An LVQ-trained hidden Markov model for automatic speech recognition. [D] . Kuo, Yu-Chun. 1993

机译：用于自动语音识别的LVQ训练的隐马尔可夫模型。
6. Assessment of Dysarthria Using One-Word Speech Recognition with Hidden Markov Models [O] . Seung Hak Lee, Minje Kim, Han Gil Seo, 2019

机译：使用隐马尔可夫模型的单字语音识别评估构音障碍
7. On-line adaptive learning of the correlated continuous density hidden Markov models for speech recognition [O] . Huo Q, Lee CH 1998

机译：用于语音识别的相关连续密度隐马尔可夫模型的在线自适应学习
8. Improving on hidden Markov models: An articulatorily constrained, maximum likelihood approach to speech recognition and speech coding [R] . Hogden, J. 1996

机译：改进隐马尔可夫模型：语音识别和语音编码的语义约束，最大似然方法

Combining LVQ with continuous density hidden Markov models in speech recognition

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