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Generative adversarial network-based approach to signal reconstruction from magnitude spectrogram.

, , , , , and . EUSIPCO, page 2514-2518. IEEE, (2018)

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Crossmodal Voice Conversion., , , , and . CoRR, (2019)Non-Parallel Whisper-to-Normal Speaking Style Conversion Using Auxiliary Classifier Variational Autoencoder., , , and . IEEE Access, (2023)Wave-U-Net Discriminator: Fast and Lightweight Discriminator for Generative Adversarial Network-Based Speech Synthesis., , , and . ICASSP, page 1-5. IEEE, (2023)Real-time vibration control of an electrolarynx based on statistical F0 contour prediction., , , and . EUSIPCO, page 1333-1337. IEEE, (2016)An evaluation of excitation feature prediction in a hybrid approach to electrolaryngeal speech enhancement., , , , and . ICASSP, page 4488-4492. IEEE, (2014)StarGAN-VC2: Rethinking Conditional Methods for StarGAN-Based Voice Conversion., , , and . INTERSPEECH, page 679-683. ISCA, (2019)Direct F0 control of an electrolarynx based on statistical excitation feature prediction and its evaluation through simulation., , , , and . INTERSPEECH, page 31-35. ISCA, (2014)A hybrid approach to electrolaryngeal speech enhancement based on spectral subtraction and statistical voice conversion., , , , and . INTERSPEECH, page 3067-3071. ISCA, (2013)Physically Constrained Statistical F0 Prediction for Electrolaryngeal Speech Enhancement., , , and . INTERSPEECH, page 1069-1073. ISCA, (2017)WaveCycleGAN2: Time-domain Neural Post-filter for Speech Waveform Generation., , , and . CoRR, (2019)