2019
DOI: 10.20944/preprints201905.0228.v1
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Improving Post-Filtering of Artificial Speech Using Pre-Trained LSTM Neural Networks

Abstract: Several researchers have contemplated deep learning-based post-filters to increase the quality of statistical parametric speech synthesis, which perform a mapping of the synthetic speech to the natural speech, considering the different parameters separately and trying to reduce the gap between them. The Long Short-term Memory (LSTM) Neural Networks have been applied successfully in this purpose, but there are still many aspects to improve in the results and in the process itself. In this paper, we introduce a … Show more

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Cited by 6 publications
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References 31 publications
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