CrossRef Text and Data Mining
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Effect of Speech Degradation and Listening Effort in Reverberating and Noisy Environments Given N400 Responses
Jeong-Sug Kyong, Chanbeom Kwak, Woojae Han, Myung-Whan Suh, Jinsook Kim
J Audiol Otol. 2020;24(3):119-126.   Published online June 12, 2020
DOI: https://doi.org/10.7874/jao.2019.00514

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Effect of Speech Degradation and Listening Effort in Reverberating and Noisy Environments Given N400 Responses
Journal of Audiology and Otology. 2020;24(3):119-126   Crossref logo
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Neural indices of listening effort in noisy environments
Scientific Reports. 2019;9(1):   Crossref logo
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ICARUS: Source generator based real-time recognition of speech in noisy stressful and Lombard effect environments ☆
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Unsupervised Equalization of Lombard Effect for Speech Recognition in Noisy Adverse Environments
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Perceptual features for automatic speech recognition in noisy environments
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Beamforming microphone arrays for speech acquisition in noisy environments
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Incorporating the voicing information into HMM-based automatic speech recognition in noisy environments
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Robust speech/non-speech detection based on LDA-derived parameter and voicing parameter for speech recognition in noisy environments
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Blind source extraction for robust speech recognition in multisource noisy environments
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