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Autoencoder-based Unsupervised Domain Adaptation for Speech Emotion Recognition.

, , , and . IEEE Signal Process. Lett., 21 (9): 1068-1072 (2014)

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The Munich Biovoice Corpus: Effects of Physical Exercising, Heart Rate, and Skin Conductance on Human Speech Production., , and . LREC, page 1506-1510. European Language Resources Association (ELRA), (2014)CCA based feature selection with application to continuous depression recognition from acoustic speech features., , , and . ICASSP, page 3729-3733. IEEE, (2014)Preserving actual dynamic trend of emotion in dimensional speech emotion recognition., , , , , and . ICMI, page 523-528. ACM, (2012)Tango or Waltz?: Putting Ballroom Dance Style into Tempo Detection., , and . EURASIP J. Audio Speech Music. Process., (2008)audEERING's approach to the One-Minute-Gradual Emotion Challenge., , , and . CoRR, (2018)Multistage linguistic conditioning of convolutional layers for speech emotion recognition., , , , , and . CoRR, (2021)The voice of COVID-19: Acoustic correlates of infection., , , , , , , , , and 1 other author(s). CoRR, (2020)Does my speech rock? automatic assessment of public speaking skills., , , , , , , and . INTERSPEECH, page 2519-2523. ISCA, (2015)Static and Dynamic Modelling for the Recognition of Non-verbal Vocalisations in Conversational Speech., , and . PIT, volume 5078 of Lecture Notes in Computer Science, page 99-110. Springer, (2008)Multi-resolution linear prediction based features for audio onset detection with bidirectional LSTM neural networks., , , , , and . ICASSP, page 2164-2168. IEEE, (2014)