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Voice command recognition for noisy environments by means of cross-correlation portraits

机译：通过跨相关肖像，语音命令识别噪声环境

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Andrey I. Armer; Ekaterina Yu. Galitskaya; Natalia A. Krasheninnikova;
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1. Cross-Correlation Portraits of Voice Signals in the Problem of Recognizing Voice Commands According to Patterns [J] . V. R. Krasheninnikov, A. I. Armer, V. V. Kuznetsov, Pattern recognition and image analysis: advances in mathematical theory and applications in the USSR . 2011,第2期

机译：模式识别语音命令问题中语音信号的互相关肖像
2. Optimization of dictionary and model library for recognition of speech commands based on cross-correlation portraits [J] . Krasheninnikov V.R., Krasheninnikova N.A., Kuznetsov V.V., Pattern recognition and image analysis: advances in mathematical theory and applications in the USSR . 2013,第1期

机译：基于互相关肖像的字典和模型库优化，用于语音命令识别
3. SPEECH ENHANCEMENT METHOD FOR LPC AUTOREGRESSIVE MODEL AND SYSTEM IMPLEMENTATION OF COMMAND WORD RECOGNITION USED IN NOISY ENVIRONMENT [J] . 王承发, 吕成国, 孙立新, 南京航空航天大学学报：英文版 . 1998,第002期

机译：LPC自回归模型的语音增强方法和嘈杂环境中使用命令字识别的系统实现
4. Voice Command II: A DSP Implementation of Robust Speeth Recognition in Real-World Noisy Environments [C] . Soo-Young Lee, Doh-Suk Kim, Ki-Hwan Ahn, International conference on neural information processing;ICONIP'97;Australian and New Zealand conference on intelligent information systems;ANZIIS'97;New Zealand international conference on artificial neural networks and expert systems;ANNES'97 . 1998

机译：语音命令II：现实世界中嘈杂环境中的鲁棒语音识别的DSP实现
5. Communication in a noisy environment: Perception of one's own voice and speech enhancement. [D] . Le Cocq, Cecile. 2010

机译：在嘈杂的环境中进行交流：感知自己的语音和语音增强。
6. Robustness of Auditory Teager Energy Cepstrum Coefficients for Classification of Pathological and Normal Voices in Noisy Environments [O] . Lotfi Salhi, Adnane Cherif 2013

机译：嘈杂环境中听觉Teager能量倒谱系数的病理和正常声音分类的稳健性
7. Speech Recognition for Noisy Environments - Feasibility of Voice Command in Construction Settings [O] . Akbarinia Arash, Valdez Medrano Javier, Zamani Rashid 2011

机译：嘈杂环境下的语音识别 - 建筑设置中语音命令的可行性

Voice command recognition for noisy environments by means of cross-correlation portraits

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