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ON USING THE AUDITORY IMAGE MODEL AND INVARIANT-INTEGRATION FOR NOISE ROBUST AUTOMATIC SPEECH RECOGNITION

机译：音频图像模型和不变积分的语音鲁棒自动语音识别

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作者
Florian Müller; Alfred Mertins;
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年度 2013
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1. Noise Robust Feature Scheme for Automatic Speech Recognition Based on Auditory Perceptual Mechanisms [J] . Shang CAI, Yeming XIAO, Jielin PAN, IEICE transactions on information and systems . 2012,第6期

机译：基于听觉感知机制的语音自动识别噪声鲁棒特征方案
2. Noise Robust Feature Scheme for Automatic Speech Recognition Based on Auditory Perceptual Mechanisms [J] . Shang CAI, Yeming XIAO, Jielin PAN, IEICE Transactions on Information and Systems . 2012,第6期

机译：基于听觉感知机制的语音自动识别鲁棒特征方案
3. Unsupervised Speech Enhancement Based on Multichannel NMF-Informed Beamforming for Noise-Robust Automatic Speech Recognition [J] . Shimada Kazuki, Bando Yoshiaki, Mimura Masato, Audio, Speech, and Language Processing, IEEE/ACM Transactions on . 2019,第5期

机译：基于多通道NMF信息波束形成的无监督语音增强技术，用于强噪声自动语音识别
4. On using the auditory image model and invariant-integration for noise robust automatic speech recognition [C] . Muller Florian IEEE International Conference on Acoustics, Speech and Signal Processing;ICASSP . 2012

机译：利用听觉图像模型和不变积分进行噪声鲁棒的自动语音识别
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. Incorporating Noise Robustness in Speech Command Recognition by Noise Augmentation of Training Data [O] . Ayesha Pervaiz, Fawad Hussain, Huma Israr, 2020

机译：通过训练数据的噪声增强将噪声鲁棒性纳入语音命令识别中
7. AUDITORY-MODELING INSPIRED METHODS OF FEATURE EXTRACTION FOR ROBUST AUTOMATIC SPEECH RECOGNITION [O] . 2008

机译：用于鲁棒自动语音识别的特征提取的听觉建模灵感方法

ON USING THE AUDITORY IMAGE MODEL AND INVARIANT-INTEGRATION FOR NOISE ROBUST AUTOMATIC SPEECH RECOGNITION

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