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Research
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- 論文
Investigating Very Deep Highway Networks for Parametric Speech Synthesis
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Multidimensional scaling of systems in the Voice Conversion Challenge 2016
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Speech Enhancement for a Noise-Robust Text-to-Speech Synthesis System using Deep Recurrent Neural Networks
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Applying Spectral Normalisation and Efficient Envelope Estimation and Statistical Transformation for the Voice Conversion Challenge 2016
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Enhance the word vector with prosodic information for the recurrent neural network based TTS system
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Using text and acoustic features in predicting glottal excitation waveforms for parametric speech synthesis with recurrent neural networks
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Majorisation-minimisation based optimisation of the composite autoregressive system with application to glottal inverse filtering
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A Hierarchical Predictor of Synthetic Speech Naturalness Using Neural Networks
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The SIWIS database: a multilingual speech database with acted emphasis
