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Measuring the Impact of Individual Domain Factors in Self-Supervised Pre-Training ...
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Speech Resynthesis from Discrete Disentangled Self-Supervised Representations
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In: INTERSPEECH 2021 - Annual Conference of the International Speech Communication Association ; https://hal.inria.fr/hal-03329245 ; INTERSPEECH 2021 - Annual Conference of the International Speech Communication Association, Aug 2021, Brno, Czech Republic (2021)
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On Generative Spoken Language Modeling from Raw Audio
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In: EISSN: 2307-387X ; Transactions of the Association for Computational Linguistics ; https://hal.inria.fr/hal-03329219 ; Transactions of the Association for Computational Linguistics, The MIT Press, 2021 (2021)
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Text-Free Image-to-Speech Synthesis Using Learned Segmental Units ...
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HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units ...
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Textless Speech Emotion Conversion using Discrete and Decomposed Representations ...
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A Convolutional Deep Markov Model for Unsupervised Speech Representation Learning
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In: Interspeech 2020 ; https://hal.archives-ouvertes.fr/hal-02912029 ; Interspeech 2020, Oct 2020, Shanghai, China (2020)
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Speech processing with less supervision : learning from weak labels and multiple modalities
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A Convolutional Deep Markov Model for Unsupervised Speech Representation Learning ...
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Learning Hierarchical Discrete Linguistic Units from Visually-Grounded Speech ...
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Transfer Learning from Audio-Visual Grounding to Speech Recognition ...
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Unsupervised learning of disentangled representations for speech with neural variational inference models
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Unsupervised Adaptation with Interpretable Disentangled Representations for Distant Conversational Speech Recognition ...
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Unsupervised Representation Learning of Speech for Dialect Identification ...
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Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data ...
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Learning Latent Representations for Speech Generation and Transformation ...
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