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The Ability of Self-Supervised Speech Models for Audio Representations.

, , , , и . CoRR, (2022)

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Hsu-Yi Lee

Young-Yi Lee

Yi-Wei Lee-Steinkämper

Wai Hung

Johannes Hung

 

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Personalizing universal recurrent neural network language model with user characteristic features by social network crowdsourcing., , и . ASRU, стр. 84-91. IEEE, (2015)Abstractive headline generation for spoken content by attentive recurrent neural networks with ASR error modeling., , и . SLT, стр. 151-157. IEEE, (2016)Towards Audio to Scene Image Synthesis Using Generative Adversarial Network., , и . ICASSP, стр. 496-500. IEEE, (2019)Utterance-level latent topic transition modeling for spoken documents and its application in automatic summarization., , и . ICASSP, стр. 5065-5068. IEEE, (2012)Generative Adversarial Networks for Unpaired Voice Transformation on Impaired Speech., , и . CoRR, (2018)MITAS: A Compressed Time-Domain Audio Separation Network with Parameter Sharing., , , и . CoRR, (2019)Learning Interpretable and Discrete Representations with Adversarial Training for Unsupervised Text Classification., , и . CoRR, (2020)One-Shot Voice Conversion by Vector Quantization., и . ICASSP, стр. 7734-7738. IEEE, (2020)Zero Resource Code-switched Speech Benchmark Using Speech Utterance Pairs For Multiple Spoken Languages., , , , и . CoRR, (2023)An Exploration of In-Context Learning for Speech Language Model., , , и . CoRR, (2023)