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Robust coherence-based spectral enhancement for speech recognition in adverse real-world environments

机译：基于强大的相干性的透视识别在不利现实世界环境中的语音识别

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Hendrik Barfuss; Christian Huemmer; Andreas Schwarz; Walter Kellermann;
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1. Robust coherence-based spectral enhancement for speech recognition in adverse real-world environments [J] . Barfuss Hendrik, Huemmer Christian, Schwarz Andreas, Computer speech and language . 2017,第nova期

机译：基于健壮的基于相干性的频谱增强，可在不利的现实环境中进行语音识别
2. Auditory processing of speech signals for robust speech recognition in real-world noisy environments [J] . Doh-Suk Kim, Soo-Young Lee IEEE Transactions on Speech and Audio Proceeding . 1999,第1期

机译：语音信号的听觉处理，可在实际嘈杂的环境中实现强大的语音识别
3. SPEECH ENHANCEMENT FOR ROBUST SPEECH RECOGNITION IN MOTORCYCLE ENVIRONMENT [J] . IOSIF MPORAS, TODOR GANCHEV, OTILIA KOCSIS, International Journal of Artificial Intelligence Tools: Architectures, Languages, Algorithms . 2010,第2期

机译：摩托车环境中的健壮语音识别的语音增强
4. Encoded Speech Recognition Accuracy Improvement in adverse Environments by enhancing Formant Spectral bands [C] . S.Kadambe, R.Burns 6th International Conference on Spoken Language Processing ICSLP 2000 Oct.16-Oct.20 2000 Beijing International Convention Center, Beijing, China . 2000

机译：通过增强共振峰频谱带提高恶劣环境下的编码语音识别精度
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. Recognizing the message and the messenger: biomimetic spectral analysis for robust speech and speaker recognition [O] . Sridhar Krishna Nemala, Kailash Patil, Mounya Elhilali -1

机译：识别消息和使者：仿生频谱分析可增强语音和说话者识别能力
7. Enhanced Running Spectrum Analysis for Robust Speech Recognition Under Adverse Conditions: A Case Study on Japanese Speech [O] . George Mufungulwa, Hiroshi Tsutsui, Yoshikazu Miyanaga, 2017

机译：不利条件下，增强了鲁棒语音识别的运行频谱分析：日语语音案例研究

Robust coherence-based spectral enhancement for speech recognition in adverse real-world environments

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