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Speaker verification using simplified and supervised i-vector modeling.

, , , and . ICASSP, page 7199-7203. IEEE, (2013)

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Application of noise robust MDT speech recognition on the SPEECON and speechdat-car databases., , , , and . INTERSPEECH, page 1227-1230. ISCA, (2009)Improvements to the IBM speech activity detection system for the DARPA RATS program., , , and . ICASSP, page 4500-4504. IEEE, (2015)Robust language identification using convolutional neural network features., , , , , and . INTERSPEECH, page 1846-1850. ISCA, (2014)Affective Feature Design and Predicting Continuous Affective Dimensions from Music., , , , , , and . MediaEval, volume 1263 of CEUR Workshop Proceedings, CEUR-WS.org, (2014)Speaker verification using simplified and supervised i-vector modeling., , , and . ICASSP, page 7199-7203. IEEE, (2013)Advances in Missing Feature Techniques for Robust Large-Vocabulary Continuous Speech Recognition., and . IEEE Trans. Audio, Speech & Language Processing, 19 (1): 123-137 (2011)Classifying language-related developmental disorders from speech cues: the promise and the potential confounds., , , , , , , , and . INTERSPEECH, page 182-186. ISCA, (2013)Directly data-derived articulatory gesture-like representations retain discriminatory information about phone categories., , and . Computer Speech & Language, (2016)Unsupervised learning of time-frequency patches as a noise-robust representation of speech., and . Speech Communication, 51 (11): 1124-1138 (2009)Handling convolutional noise in missing data automatic speech recognition., and . INTERSPEECH, ISCA, (2006)