Enhancing GAN-Based Vocoders with Contrastive Learning Under Data-limited Condition

Vocoder models have recently achieved substantial progress in generating authentic audio comparable to human quality while significantly reducing memory requirement and inference time. However, these data-hungry generative models require large-scale audio data for learning good representations. In t...

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Veröffentlicht in:	arXiv.org 2023-12
Hauptverfasser:	Guo, Haoming, Zhao, Seth Z, Lian, Jiachen, Anumanchipalli, Gopala, Friedland, Gerald
Format:	Artikel
Sprache:	eng
Schlagworte:	Audio data Discriminators Learning Training Vocoders Waveforms
Online-Zugang:	Volltext
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