New method for high-speed synthesis of natural voices

Tuesday, February 5, 2019 - 12:30 in Mathematics & Economics

The research team has developed the method of neural source-filter (NSF) models for high-speed, high-quality voice synthesis. This technique, which combines the recent deep-learning algorithms and a classical speech production model dated back to the 1960s, is capable not only of generating high-quality voice waveforms -- closely resembling the human voice -- but also of conducting stable learning via neural networks.

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