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Multi-corpus Experiment on Continuous Speech Emotion Recognition: Convolution or Recurrence?

, , , , и . SPECOM, том 12335 из Lecture Notes in Computer Science, стр. 304-314. Springer, (2020)

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Error detection of grapheme-to-phoneme conversion in text-to-speech synthesis using speech signal and lexical context., , и . ASRU, стр. 692-697. IEEE, (2017)Recent Advances in End-to-End Spoken Language Understanding., , , , и . SLSP, том 11816 из Lecture Notes in Computer Science, стр. 44-55. Springer, (2019)On the use of Self-supervised Pre-trained Acoustic and Linguistic Features for Continuous Speech Emotion Recognition., , , и . CoRR, (2020)Leverage Unlabeled Data for Abstractive Speech Summarization with Self-supervised Learning and Back-Summarization., , , , , и . SPECOM, том 12335 из Lecture Notes in Computer Science, стр. 572-580. Springer, (2020)Acoustic and linguistic representations for speech continuous emotion recognition in call center conversations., , , и . CoRR, (2023)Is one brick enough to break the wall of spoken dialogue state tracking?, , и . CoRR, (2023)Dynamic selection of language models in a dialogue system., , и . INTERSPEECH, стр. 214-217. ISCA, (2000)End2End Acoustic to Semantic Transduction., , , , , , и . ICASSP, стр. 7448-7452. IEEE, (2021)Findings of the IWSLT 2022 Evaluation Campaign., , , , , , , , , и 33 other автор(ы). IWSLT@ACL, стр. 98-157. Association for Computational Linguistics, (2022)The LIUM ASR and SLT systems for IWSLT 2015., , , , и . IWSLT (Evaluation Campaign), (2015)