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Affect recognition in real-life acoustic conditions - a new perspective on feature selection.

, , and . INTERSPEECH, page 2044-2048. ISCA, (2013)

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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)Improving Speed/Accuracy Tradeoff for Online Streaming ASR via Real-Valued and Trainable Strides., , , and . ICASSP, page 11716-11720. IEEE, (2024)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)Acoustic-Linguistic Recognition of Interest in Speech with Bottleneck-BLSTM Nets., , , and . INTERSPEECH, page 77-80. ISCA, (2011)Improving Recognition of Speaker States and Traits by Cumulative Evidence: Intoxication, Sleepiness, Age and Gender., , and . INTERSPEECH, page 1159-1162. ISCA, (2012)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)On-Line NMF-Based Stereo Up-Mixing of Speech Improves Perceived Reduction of Non-Stationary Noise., , , , , and . Semantic Audio, Audio Engineering Society, (2014)Multi-Modal Non-Prototypical Music Mood Analysis in Continuous Space: Reliability and Performances., , and . ISMIR, page 759-764. University of Miami, (2011)