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Deep Learning Based Mandarin Accent Identification for Accent Robust ASR.

, , , , and . INTERSPEECH, page 510-514. ISCA, (2019)

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Automatic Assessment of Singer Traits in Popular Music: Gender, Age, Height and Race., , and . ISMIR, page 37-42. University of Miami, (2011)Affect recognition in real-life acoustic conditions - a new perspective on feature selection., , and . INTERSPEECH, page 2044-2048. ISCA, (2013)The INTERSPEECH 2012 Speaker Trait Challenge., , , , , , , , , and 2 other author(s). INTERSPEECH, page 254-257. ISCA, (2012)Deep Learning Based Mandarin Accent Identification for Accent Robust ASR., , , , and . INTERSPEECH, page 510-514. ISCA, (2019)The INTERSPEECH 2015 computational paralinguistics challenge: nativeness, parkinson's & eating condition., , , , , , , , and . INTERSPEECH, page 478-482. ISCA, (2015)A Survey on perceived speaker traits: Personality, likability, pathology, and the first challenge., , , , , , , , , and 2 other author(s). Comput. Speech Lang., 29 (1): 100-131 (2015)Introducing CURRENNT: the munich open-source CUDA recurrent neural network toolkit., , and . J. Mach. Learn. Res., (2015)Improving Recognition of Speaker States and Traits by Cumulative Evidence: Intoxication, Sleepiness, Age and Gender., , and . INTERSPEECH, page 1159-1162. ISCA, (2012)Acoustic-Linguistic Recognition of Interest in Speech with Bottleneck-BLSTM Nets., , , and . INTERSPEECH, page 77-80. ISCA, (2011)Vocalist Gender Recognition in Recorded Popular Music., , , , and . ISMIR, page 613-618. International Society for Music Information Retrieval, (2010)