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Proceedings of the ICML 2022 Expressive Vocalizations Workshop and Competition: Recognizing, Generating, and Personalizing Vocal Bursts.

, , , , , , , , , и . CoRR, (2022)

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Björn Schuller

Saskia Björn

Bolli Björnsson

Ulf Björner

Erik Björnemo

 

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A machine learning based system for the automatic evaluation of aphasia speech., , , , и . Healthcom, стр. 1-6. IEEE, (2017)Music Thumbnailing Incorporating Harmony- and Rhythm Structure., , , и . Adaptive Multimedia Retrieval, том 5811 из Lecture Notes in Computer Science, стр. 78-88. Springer, (2008)A novel approach for automatic acoustic novelty detection using a denoising autoencoder with bidirectional LSTM neural networks., , , , и . ICASSP, стр. 1996-2000. IEEE, (2015)Semi-supervised learning helps in sound event classification., и . ICASSP, стр. 333-336. IEEE, (2012)Humans Inside: Cooperative Big Multimedia Data Mining., , , , и . Innovations in Big Data Mining and Embedded Knowledge, том 159 из Intelligent Systems Reference Library, Springer, (2019)A Fusion of Deep Convolutional Generative Adversarial Networks and Sequence to Sequence Autoencoders for Acoustic Scene Classification., , , , , и . EUSIPCO, стр. 977-981. IEEE, (2018)MAPTRAITS 2014: The First Audio/Visual Mapping Personality Traits Challenge., , , , и . MAPTRAITS@ICMI, стр. 3-9. ACM, (2014)Acoustic Gait-based Person Identification using Hidden Markov Models., , , и . MAPTRAITS@ICMI, стр. 25-30. ACM, (2014)Attention-augmented End-to-end Multi-task Learning for Emotion Prediction from Speech., , и . ICASSP, стр. 6705-6709. IEEE, (2019)Augment to Prevent: Short-Text Data Augmentation in Deep Learning for Hate-Speech Classification., , и . CIKM, стр. 991-1000. ACM, (2019)