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Research
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- 論文
Speaker Anonymization Using X-vector and Neural Waveform Models
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Neural Harmonic-plus-Noise Waveform Model with Trainable Maximum Voice Frequency for Text-to-Speech Synthesis
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Initial investigation of encoder-decoder end-to-end TTS using marginalization of monotonic hard alignments
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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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Spatio-Temporal Generative Adversarial Network for Gait Anonymization
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Capsule-Forensics: Using Capsule Networks to Detect Forged Images and Videos
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STFT spectral loss for training a neural speech waveform model
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Neural source-filter-based waveform model for statistical parametric speech synthesis
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Investigation of enhanced Tacotron text-to-speech synthesis systems with self-attention for pitch accent language
