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Research
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- 論文
Joint training framework for text-to-speech and voice conversion using multi-source Tacotron and WaveNet
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Rakugo speech synthesis using segment-to-segment neural transduction and style tokens — toward speech synthesis for entertaining audiences
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Initial investigation of encoder-decoder end-to-end TTS using marginalization of monotonic hard alignments
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Neural Harmonic-plus-Noise Waveform Model with Trainable Maximum Voice Frequency for Text-to-Speech Synthesis
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Speaker Anonymization Using X-vector and Neural Waveform Models
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Spatio-Temporal Generative Adversarial Network for Gait Anonymization
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Cycle-consistent adversarial networks for non-parallel vocal effort based speaking style conversion
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Attentive Filtering Networks for Audio Replay Attack Detection
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Audiovisual speaker conversion: jointly and simultaneously transforming facial expression and acoustic characteristics
