Directly modeling speech waveforms by neural networks for statistical parametric speech synthesis

IEEE International Conference on Acoustics, Speech and SP, 2015.

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Other Links: academic.microsoft.com|dblp.uni-trier.de

Abstract:

This paper proposes a novel approach for directly-modeling speech at the waveform level using a neural network. This approach uses the neural network-based statistical parametric speech synthesis framework with a specially designed output layer. As acoustic feature extraction is integrated to acoustic model training, it can overcome the l...More

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