Sub-band Vector Quantized Variational AutoEncoder for Spectral Envelope Quantization
Published: Oct 1, 2019
Abstract
Recently, a lot of deep learning model successful in taking over conventional methods in speech processing fields. Vector quantization is a popular technique to reduce the amount of speech data before transmitting. The conventional vector quantization method is based on the mathematical model. Last few years, the Vector Quantized Variational AutoEncoder has been proposed for an end-to-end vector quantization based on deep learning techniques. In...
Paper Details
Title
Sub-band Vector Quantized Variational AutoEncoder for Spectral Envelope Quantization
Published Date
Oct 1, 2019
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