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KI 2023 - Doctoral Consortium

https://dl.gi.de/handle/20.500.12116/42394
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Auflistung KI 2023 - Doctoral Consortium nach Autor:in "Brima, Yusuf"

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  • Textdokument
    Self-Supervised Learning of Speech Representation via Redundancy Reduction
    (DC@KI2023: Proceedings of Doctoral Consortium at KI 2023, 2023) Brima, Yusuf
    Our proposed research aims to contribute to the field of SSL for speech processing by developing representations that effectively capture latent speaker statistics. A comprehensive evaluation in various downstream tasks will provide a thorough assessment of the representations’ suitability and performance. The outcomes of this research will advance our understanding and utilization of SSL in speech representation learning, ultimately enhancing speaker-related applications and their practical implications.