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A multi-channel speech enhancement framework for robust NMF-based speech recognition for speech-impaired users.

, , , , , , and . INTERSPEECH, page 746-750. ISCA, (2015)

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Identification of linear dynamic systems using piecewise constant excitations: Use, misuse and alternatives., , and . Automatica, 30 (7): 1153-1169 (1994)Discovering Phone Patterns in Spoken Utterances by Non-Negative Matrix Factorization., , and . IEEE Signal Process. Lett., (2008)A Computational Model of Language Acquisition: the Emergence of Words., , , and . Fundam. Inform., 90 (3): 229-249 (2009)An hierarchical exemplar-based sparse model of speech, with an application to ASR., and . ASRU, page 101-106. IEEE, (2011)PROSPECT features and their application to missing data techniques for robust speech recognition.. INTERSPEECH, ISCA, (2004)Assessment of dereverberation algorithms for large vocabulary speech recognition systems., , , , and . INTERSPEECH, ISCA, (2003)Application of noise robust MDT speech recognition on the SPEECON and speechdat-car databases., , , , and . INTERSPEECH, page 1227-1230. ISCA, (2009)Statistical language models for large vocabulary spontaneous speech recognition in dutch., , , and . INTERSPEECH, page 1301-1304. ISCA, (2005)Investigating modulation spectrogram features for deep neural network-based automatic speech recognition., and . INTERSPEECH, page 2479-2483. ISCA, (2015)Learning from images and speech with Non-negative Matrix Factorization enhanced by input space scaling., , and . SLT, page 1-6. IEEE, (2010)