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A hybrid approach to electrolaryngeal speech enhancement based on spectral subtraction and statistical voice conversion.

, , , , and . INTERSPEECH, page 3067-3071. ISCA, (2013)

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Generative adversarial network-based approach to signal reconstruction from magnitude spectrogram., , , , , and . EUSIPCO, page 2514-2518. IEEE, (2018)The ASVspoof 2019 database., , , , , , , , , and 30 other author(s). CoRR, (2019)Nonparallel Voice Conversion With Augmented Classifier Star Generative Adversarial Networks., , , and . IEEE ACM Trans. Audio Speech Lang. Process., (2020)Vae-Space: Deep Generative Model of Voice Fundamental Frequency Contours., , and . ICASSP, page 5779-5783. IEEE, (2018)Cyclegan-VC2: Improved Cyclegan-based Non-parallel Voice Conversion., , , and . ICASSP, page 6820-6824. IEEE, (2019)ATTS2S-VC: Sequence-to-sequence Voice Conversion with Attention and Context Preservation Mechanisms., , , and . ICASSP, page 6805-6809. IEEE, (2019)StarGAN-VC: non-parallel many-to-many Voice Conversion Using Star Generative Adversarial Networks., , , and . SLT, page 266-273. IEEE, (2018)Training Generative Adversarial Network-Based Vocoder with Limited Data Using Augmentation-Conditional Discriminator., , and . CoRR, (2024)ConvS2S-VC: Fully convolutional sequence-to-sequence voice conversion., , , and . CoRR, (2018)AttS2S-VC: Sequence-to-Sequence Voice Conversion with Attention and Context Preservation Mechanisms., , , and . CoRR, (2018)