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Speech Recognition Using Long-Span Temporal Patterns in a Deep Network Model.

, , , and . IEEE Signal Process. Lett., 20 (3): 201-204 (2013)

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A Study on Music Genre Classification Based on Universal Acoustic Models., and . ISMIR, page 89-94. (2006)Iterative Training Techniques for Phonetic Template Based Speech Recognition with a Speaker-Independent Phonetic Recognizer., , and . Australian Conference on Artificial Intelligence, volume 3809 of Lecture Notes in Computer Science, page 577-584. Springer, (2005)Unsupervised adaptation using structural Bayes approach., and . ICASSP, page 793-796. IEEE, (1998)Discriminative dynamic Gaussian mixture selection with enhanced robustness and performance for multi-accent speech recognition., , , and . ICASSP, page 4749-4752. IEEE, (2012)On stochastic feature and model compensation approaches to robust speech recognition.. Speech Commun., 25 (1-3): 29-47 (1998)TT+GT at TRECVID 2010 Workshop., , , , , , and . TRECVID, National Institute of Standards and Technology (NIST), (2010)TRECVID 2013 GENIE: Multimedia Event Detection and Recounting., , , , , , , , , and 13 other author(s). TRECVID, National Institute of Standards and Technology (NIST), (2013)Dialect levelling in Finnish: a universal speech attribute approach., , , , , , and . INTERSPEECH, page 2165-2169. ISCA, (2014)A text categorization approach to automatic language identification., , , and . INTERSPEECH, page 2837-2840. ISCA, (2005)Exploiting context-dependency and acoustic resolution of universal speech attribute models in spoken language recognition., , , and . INTERSPEECH, page 2718-2721. ISCA, (2010)