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Noise Robust Automatic Speech Recognition Method for the Robot with Motor Noise using Missing Feature Theory

机译：使用缺失特征理论具有电机噪声机器人的噪声鲁棒自动语音识别方法

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Yoshitaka Nishimura; Mitsuru Ishizuka; Kazuhiro Nakadai; Mikio Nakano; Hiroshi Tsujino;
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年度 2007
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1. A feature extraction method using subband based periodicity and aperiodicity decomposition with noise robust frontend processing for automatic speech recognition [J] . Kentaro Ishizuka, Tomohiro Nakatani Speech Communication . 2006,第11期

机译：一种基于子带的周期性和非周期性分解与噪声鲁棒前端处理的特征提取方法，用于自动语音识别
2. Reconstruction of missing features by means of multivariate Laplace distribution (MLD) for noise robust speech recognition [J] . Arash Mohammadi, Farshad Almasganj Expert Systems with Application . 2011,第4期

机译：借助多变量Laplace分布（MLD）重建缺失特征以增强噪声鲁棒性语音识别
3. Noise robust speech recognition by integration of MLLR adaptation and feature extraction for noise reduced speech [J] . Masakiyo Fujimoto, Yasuo Ariki 電子情報通信学会技術研究報告. 音声. Speech . 2001,第522期

机译：通过集成MLLR自适应和特征提取以降低噪声的语音，增强了噪声鲁棒性
4. Speech Recognition for a Humanoid with Motor Noise Utilizing Missing Feature Theory [C] . Yoshitaka Nishimura, Mitsuru Ishizuka, Kazuhiro Nakadai, IEEE-RAS International Conference on Humanoid Robots . 2006

机译：利用缺失特征理论的带电机噪声的人形语音识别
5. Compressive nonlinearity for representing speech spectral magnitude to improve noise robustness of automatic speech recognition . [D] . Wong, Brian. 2011

机译：压缩非线性表示语音频谱幅度提高语音自动识别的鲁棒性。
6. Threshold-Based Noise Detection and Reduction for Automatic Speech Recognition System in Human-Robot Interactions [O] . Sheng-Chieh Lee, Jhing-Fa Wang, Miao-Hia Chen 2018

机译：人机交互中基于阈值的自动语音识别系统噪声检测与消减
7. Missing Feature Theory based Interface Between Sound Source Separation and Automatic Speech Recognition and Applying to Multiple Robots [O] . Shunichi Yamamoto, Kazuhiro Nakadai, Hiroshi Tsujino, 2005

机译：基于特征理论的声音分离与自动语音识别与多个机器人的特征理论
8. Normalized Amplitude Modulation Features for Large Vocabulary Noise- Robust Speech Recognition. [R] . Mitra, V., Franco, H., Graciarena, M., 2012

机译：用于大词汇量噪声 - 鲁棒语音识别的归一化幅度调制特征。

Noise Robust Automatic Speech Recognition Method for the Robot with Motor Noise using Missing Feature Theory

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