Training Autoregressive Speech Recognition Models with Limited in-domain Supervision

Advances in self-supervised learning have significantly reduced the amount of transcribed audio required for training. However, the majority of work in this area is focused on read speech. We explore limited supervision in the domain of conversational speech. While we assume the amount of in-domain...

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Veröffentlicht in:	arXiv.org 2022-10
Hauptverfasser:	Li, Chak-Fai, Francis, Keith, Hartmann, William, Snover, Matthew
Format:	Artikel
Sprache:	eng
Schlagworte:	Autoregressive models Coders Domains Encoders-Decoders Speech recognition Supervised learning Training
Online-Zugang:	Volltext
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