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Research
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- 論文
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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Investigating very deep highway networks for parametric speech synthesis
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Investigating different representations for modeling multiple emotions in DNN-based speech synthesis
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Generative Adversarial Network-Based Postfilter for STFT Spectrograms
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Principles for learning controllable TTS from annotated and latent variation
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Learning word vector representations based on acoustic counts
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The ASVspoof 2017 challenge: Assessing the limits of replay spoofing attack detection
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Reducing mismatch in training of DNN-based glottal excitation models in a statistical parametric text-to-speech system
