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Disentangled Speech Embeddings Using Cross-Modal Self-Supervision
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Disentangled Speech Embeddings Using Cross-Modal Self-Supervision
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
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
