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USE OF DIFFERENTIAL CEPSTRA AS ACOUSTIC FEATURES IN HIDDEN TRAJECTORY MODELING FOR PHONETIC RECOGNITION

机译：在监视声学建模中使用微分CEpsTRa作为声学特征进行语音识别

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1. Development of an acoustic-phonetic hidden Markov model for continuous speech recognition [J] . Ljolje A., Levinson S.E. IEEE Transactions on Signal Processing . 1991,第1期

机译：用于连续语音识别的语音隐藏马尔可夫模型的开发
2. Phonetic perceptual identification by native- and second-language speakers differentially activates brain regions involved with acoustic phonetic processing and those involved with articulatory-auditory/orosensory internal models. [J] . Callan DE, Jones JA, Callan AM, NeuroImage . 2004,第3期

机译：通过母语和第二语言的说话人进行的语音感知识别会差异性地激活涉及声学语音处理的大脑区域以及涉及发音听觉/口感内部模型的大脑区域。
3. An Acoustic-Phonetic and a Model-Theoretic Analysis of Subspace Distribution Clustering Hidden Markov Models [J] . BRIAN MAK International journal of speech technology . 2004,第1期

机译：子空间分布聚类隐马尔可夫模型的声学和模型理论分析
4. Use of Differential Cepstra as Acoustic Features in Hidden Trajectory Modeling for Phonetic Recognition [C] . Li Deng, Dong Yu . 2007

机译：在语音识别的隐藏轨迹建模中使用差分倒谱作为声学特征
5. Speech recognition based on phonetic features and acoustic landmarks. [D] . Juneja, Amit. 2004

机译：基于语音特征和声学界标的语音识别。
6. An Acoustic Sensing Gesture Recognition System Design Based on a Hidden Markov Model [O] . Bruna Salles Moreira, Angelo Perkusich, Saulo O. D. Luiz 2020

机译：基于隐马尔可夫模型的声学传感手势识别系统设计
7. A Hidden Trajectory Model with Bi-directional Target-Filtering: Cascaded vs. Integrated Implementation for Phonetic Recognition [O] . Li Deng, Xiang Li, Dong Yu, 2011

机译：具有双向目标过滤的隐藏轨迹模型：用于语音识别的级联与集成实现

USE OF DIFFERENTIAL CEPSTRA AS ACOUSTIC FEATURES IN HIDDEN TRAJECTORY MODELING FOR PHONETIC RECOGNITION

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