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Research
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- 論文
A Comparison of Recent Waveform Generation and Acoustic Modeling Methods for Neural-Network-Based Speech Synthesis
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Investigating very deep highway networks for parametric speech synthesis
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Identifying Computer-Generated Text Using Statistical Analysis
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Distinguishing Computer Graphics from Natural Images Using Convolution Neural Networks
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An Approach for Gait Anonymization Using Deep Learning
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Influence of speaker familiarity on blind and visually impaired children’s and young adults’ perception of synthetic voices
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An RNN-based quantized f0 model with multi-tier feedback links for text-to-speech synthesis
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Principles for learning controllable TTS from annotated and latent variation
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Speech intelligibility in cars: The effect of speaking style, noise and listener age
