Low Rate Speech Coding using Deep Generative Models

Jan Skoglund, Google
Introduction by Jim Bankoski, Google

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Traditional parametric coding of speech facilitates low bit rate but provides poor reconstruction quality because of the inadequacy of the model used. In the last few years, machine learning has facilitated the development of speech synthesis systems that are able to produce excellent speech quality by generative neural network models using deep learning. In this talk we describe how such generative models can be used to produce high quality speech from the bit stream of a parametric coder operating at low rates.



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