| Research Interests:
Speech enhancement in noise
Speech intelligibility modelling
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Yan Tang, Martin Cooke, Cassia Valentini-Botinhao (2016). Evaluating the predictions of objective intelligibility metrics for modified and synthetic speech. Computer Speech and Language 35: 73-92.Abstract
Yan Tang, Martin Cooke (2016). Glimpse-based metrics for predicting speech intelligibility in additive noise conditions. Interspeech, San Francisco.Abstract
Martin Cooke, Maria Luisa Garcia Lecumberri, Yan Tang (2015). The effect of speech modification on nonnative listeners for matrix-style sentences.. Journal of the Acoustical Society of America-EL 137: 151-157.Abstract
Yan Tang, Martin Cooke, Bruno Fazenda, Trevor Cox (2015). A glimpse-based approach for predicting binaural intelligibility with single and multiple maskers in anechoic conditions. Interspeech, Dresden.Abstract
Cassia Valentini-Botinhao, Yan Tang, Junichi Yamagishi, Simon King (2012). Using an intelligibility measure to create noise robust cepstral coefﬁcients for HMM-based speech synthesis. Proc. Int. Workshop on the Listening Talker, Edinburgh.
Martin Cooke, Maria Luisa Garcia Lecumberri, Yan Tang, Mirjam Wester (2012). Do non-native listeners benefit from speech modifications designed to promote intelligibility for native listeners. Proc. Int. Workshop on the Listening Talker, Edinburgh.PDF
Yan Tang, Martin Cooke, Petko N. Petkov (2012). Optimal frequency ﬁltering for speech intelligibility boosting under a constant energy constraint. Proc. Int. Workshop on the Listening Talker, Edinburgh.
Yan Tang, Martin Cooke (2010). Energy reallocation strategies for speech enhancement in known noise conditions. Interspeech 2010, Makuhari, Japan.Abstract