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Audio onset detection: A wavelet packet based approach with recurrent neural networks., , , , and . IJCNN, page 3585-3591. IEEE, (2014)Non-linear prediction with LSTM recurrent neural networks for acoustic novelty detection., , , , , and . IJCNN, page 1-7. IEEE, (2015)A novel approach for automatic acoustic novelty detection using a denoising autoencoder with bidirectional LSTM neural networks., , , , and . ICASSP, page 1996-2000. IEEE, (2015)Enhancing multilingual recognition of emotion in speech by language identification, , , , , and . Interspeech, (2016)Enhancing Multilingual Recognition of Emotion in Speech by Language Identification., , , , , and . INTERSPEECH, page 2949-2953. ISCA, (2016)Affective and behavioural computing: Lessons learnt from the First Computational Paralinguistics Challenge., , , , , , , , , and 2 other author(s). Computer Speech & Language, (2019)Driver Frustration Detection from Audio and Video in the Wild., , , , , and . IJCAI, page 1354-1360. IJCAI/AAAI Press, (2016)CALM: Contrastive Aligned Audio-Language Multirate and Multimodal Representations., , , , and . CoRR, (2022)Improving Recognition of Speaker States and Traits by Cumulative Evidence: Intoxication, Sleepiness, Age and Gender., , and . INTERSPEECH, page 1159-1162. ISCA, (2012)Typicality and emotion in the voice of children with autism spectrum condition: evidence across three languages., , , , , , and . INTERSPEECH, page 115-119. ISCA, (2015)