A light-weight full-band speech enhancement model

Deep neural network based full-band speech enhancement systems face challenges of high demand of computational resources and imbalanced frequency distribution. In this paper, a light-weight full-band model is proposed with two dedicated strategies, i.e., a learnable spectral compression mapping for...

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Veröffentlicht in:	arXiv.org 2022-07
Hauptverfasser:	Hu, Qinwen, Hou, Zhongshu, Le, Xiaohuai, Lu, Jing
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Business competition Frequency distribution Speech processing Weight reduction
Online-Zugang:	Volltext
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