Bunched LPCNet2: Efficient Neural Vocoders Covering Devices from Cloud to Edge

Text-to-Speech (TTS) services that run on edge devices have many advantages compared to cloud TTS, e.g., latency and privacy issues. However, neural vocoders with a low complexity and small model footprint inevitably generate annoying sounds. This study proposes a Bunched LPCNet2, an improved LPCNet...

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Veröffentlicht in:	arXiv.org 2022-06
Hauptverfasser:	Park, Sangjun, Choo, Kihyun, Lee, Joohyung, Porov, Anton V, Osipov, Konstantin, June Sig Sung
Format:	Artikel
Sprache:	eng
Schlagworte:	Acoustics Cloud computing Complexity Linguistics Maintenance costs Speech recognition Vocoders
Online-Zugang:	Volltext
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