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Combination of Sparse Classification and Multilayer Perceptron for Noise-robust ASR.

, , , , , and . INTERSPEECH, page 310-313. ISCA, (2012)

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Bridging the gap between human and automatic speech recognition., and . Speech Communication, 49 (5): 331-335 (2007)Unconstrained Speech Segmentation using Deep Neural Networks., , and . ICPRAM (1), page 248-254. SciTePress, (2015)Up to what level can acoustical and textual features predict prominence., , and . INTERSPEECH, page 811-814. ISCA, (2001)On the automatic classification of pitch movements.. EUROSPEECH, ISCA, (1993)From diphones to allophones: from data to rules., , and . EUROSPEECH, page 1129-1131. ISCA, (1989)Automatic detection of prominence (as defined by listeners' judgements) in read aloud dutch sentences., , and . ICSLP, ISCA, (1998)Survey of spontaneous speech phenomena in a multimodal dialogue system and some implications for ASR., and . INTERSPEECH, ISCA, (2004)On the error criteria in neural networks as a tool for human classification modelling., and . ICSLP, ISCA, (1996)Analysis of context-dependent segmental duration for automatic speech recognition., , and . ICSLP, ISCA, (1996)Phonetic-acoustic and feature analyses by a neural network to assess speech quality in patients treated for head and neck cancer., , , , , , , and . INTERSPEECH, page 1753-1756. ISCA, (2008)