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Matthew Baas
Matthew Baas
Dirección de correo verificada de sun.ac.za - Página principal
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A comparison of discrete and soft speech units for improved voice conversion
B van Niekerk, MA Carbonneau, J Zaïdi, M Baas, H Seuté, H Kamper
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
722022
Analyzing speaker information in self-supervised models to improve zero-resource speech processing
B van Niekerk, L Nortje, M Baas, H Kamper
arXiv preprint arXiv:2108.00917, 2021
322021
Voice Conversion With Just Nearest Neighbors
M Baas, B van Niekerk, H Kamper
arXiv preprint arXiv:2305.18975, 2023
152023
Voice Conversion Can Improve ASR in Very Low-Resource Settings
M Baas, H Kamper
arXiv preprint arXiv:2111.02674, 2021
122021
GAN You Hear Me? Reclaiming Unconditional Speech Synthesis from Diffusion Models
M Baas, H Kamper
2022 IEEE Spoken Language Technology Workshop (SLT), 906-911, 2023
82023
StarGAN-ZSVC: Towards zero-shot voice conversion in low-resource contexts
M Baas, H Kamper
Southern African Conference for Artificial Intelligence Research, 69-84, 2021
72021
TransFusion: Transcribing Speech with Multinomial Diffusion
M Baas, K Eloff, H Kamper
Southern African Conference for Artificial Intelligence Research, 231-245, 2022
52022
Disentanglement in a GAN for unconditional speech synthesis
M Baas, H Kamper
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2024
32024
Voice Conversion for Stuttered Speech, Instruments, Unseen Languages and Textually Described Voices
M Baas, H Kamper
Southern African Conference for Artificial Intelligence Research, 136-150, 2023
2023
Comparison and Development of Practical Voice Conversion Models
M Baas
2020
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Artículos 1–10