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Disentangled Speech Embeddings Using Cross-Modal Self-Supervision

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IEEE ICASSP 2020 Virtual Conference May 2020

The objective of this paper is to learn representations of speaker identity without access to manually annotated data. To do so, we develop a self-supervised learning objective that exploits the natural cross-modal synchrony between faces and audio in vid

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Disentangled Speech Embeddings Using Cross-Modal Self-Supervision

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The objective of this paper is to learn representations of speaker identity without access to manually annotated data. To do so, we develop a self-supervised learning objective that exploits the natural cross-modal synchrony between faces and audio in vid