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pro vyhledávání: '"Porov, Anton V."'
Autor:
Park, Sangjun, Choo, Kihyun, Lee, Joohyung, Porov, Anton V., Osipov, Konstantin, Sung, June Sig
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 st
Externí odkaz:
http://arxiv.org/abs/2203.14416
This paper is concerned with scalar quantization of transform coefficients in an audio codec. The generalized Gaussian distribution (GGD) is used as an approximation of one-dimensional probability density function for transform coefficients obtained
Externí odkaz:
http://arxiv.org/abs/0806.4293