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Vocalist Gender Recognition in Recorded Popular Music.

, , , , and . ISMIR, page 613-618. International Society for Music Information Retrieval, (2010)

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The INTERSPEECH 2015 computational paralinguistics challenge: nativeness, parkinson's & eating condition., , , , , , , , and . INTERSPEECH, page 478-482. ISCA, (2015)Memory-Enhanced Neural Networks and NMF for Robust ASR., , , , , and . IEEE ACM Trans. Audio Speech Lang. Process., 22 (6): 1037-1046 (2014)Deep Learning Based Mandarin Accent Identification for Accent Robust ASR., , , , and . INTERSPEECH, page 510-514. ISCA, (2019)Feature enhancement by deep LSTM networks for ASR in reverberant multisource environments., , , , and . Comput. Speech Lang., 28 (4): 888-902 (2014)Automatic Assessment of Singer Traits in Popular Music: Gender, Age, Height and Race., , and . ISMIR, page 37-42. University of Miami, (2011)Holistic Affect Recognition Using PaNDA: Paralinguistic Non-Metric Dimensional Analysis., , , and . IEEE Trans. Affect. Comput., 13 (2): 769-780 (2022)The INTERSPEECH 2012 Speaker Trait Challenge., , , , , , , , , and 2 other author(s). INTERSPEECH, page 254-257. ISCA, (2012)Affect recognition in real-life acoustic conditions - a new perspective on feature selection., , and . INTERSPEECH, page 2044-2048. ISCA, (2013)Introducing CURRENNT: the munich open-source CUDA recurrent neural network toolkit., , and . J. Mach. Learn. Res., (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)