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Missing-Feature-Theory-Based Robust Simultaneous Speech Recognition System with Non-clean Speech Acoustic Model

机译：基于缺失特征理论的鲁棒语音识别模型的鲁棒同时语音识别系统

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Toru Takahashi; Kazuhiro Nakadai; Kazunori Komatani; Tetsuya Ogata; Hiroshi G. Okuno;
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年度 2009
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1. An End-to-End Deep Learning Approach to Simultaneous Speech Dereverberation and Acoustic Modeling for Robust Speech Recognition [J] . Bo Wu, Kehuang Li, Fengpei Ge, Selected Topics in Signal Processing, IEEE Journal of . 2017,第8期

机译：端到端深度学习方法可同时进行语音去混响和声学建模，以实现可靠的语音识别
2. A Speaker-Dependent Approach to Single-Channel Joint Speech Separation and Acoustic Modeling Based on Deep Neural Networks for Robust Recognition of Multi-Talker Speech [J] . Yan-Hui Tu, Jun Du, Chin-Hui Lee Journal of signal processing systems for signal, image, and video technology . 2018,第7期

机译：基于说话者的基于深度神经网络的单通道联合语音分离和声学建模方法，用于多语音对话的鲁棒识别
3. Towards Robust Indonesian Speech Recognition with Spontaneous-Speech Adapted Acoustic Models [J] . Devin Hoesen, Cil Hardianto Satriawan, Dessi Puji Lestari, Procedia Computer Science . 2016,第1期

机译：利用自发语音自适应声学模型实现鲁棒的印尼语音识别
4. Missing-feature-theory-based robust simultaneous speech recognition system with non-clean speech acoustic model [C] . Takahashi T., Nakadai K., Komatani K., IEEE/RSJ International Conference on Intelligent Robots and Systems;IROS 2009 . 2009

机译：基于缺失特征理论的鲁棒同时语音识别系统
5. Robust Acoustic Modeling and Front-End Design for Distant Speech Recognition [D] . Mirsamadi, Seyedmahdad. 2017

机译：鲁棒的声学建模和远端语音识别前端设计
6. Retrospective Analysis of Clinical Performance of an Estonian Speech Recognition System for Radiology: Effects of Different Acoustic and Language Models [O] . A. Paats, T. Alumäe, E. Meister, 2018

机译：一项爱沙尼亚放射线语音识别系统临床表现的回顾性分析：不同声学和语言模型的影响
7. Towards Robust Indonesian Speech Recognition with Spontaneous-Speech Adapted Acoustic Models [O] . Hoesen Devin, Satriawan Cil Hardianto, Lestari Dessi Puji, 2016

机译：利用自发语音自适应声学模型实现鲁棒的印尼语音识别

Missing-Feature-Theory-Based Robust Simultaneous Speech Recognition System with Non-clean Speech Acoustic Model

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