A Scalable Model Specialization Framework for Training and Inference using Submodels and its Application to Speech Model Personalization

Model fine-tuning and adaptation have become a common approach for model specialization for downstream tasks or domains. Fine-tuning the entire model or a subset of the parameters using light-weight adaptation has shown considerable success across different specialization tasks. Fine-tuning a model...

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Veröffentlicht in:	arXiv.org 2022-09
Hauptverfasser:	Biadsy, Fadi, Chen, Youzheng, Zhang, Xia, Rybakov, Oleg, Rosenberg, Andrew, Moreno, Pedro J
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptation Computer Science - Sound Customization Domains Embedding Inference Specialization Speech Training Weight reduction
Online-Zugang:	Volltext
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