Artículos con órdenes de acceso público - Tomoki HayashiMás información
No disponibles en ningún lugar: 2
An investigation of streaming non-autoregressive sequence-to-sequence voice conversion
T Hayashi, K Kobayashi, T Toda
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
Órdenes: Japan Science and Technology Agency
Low-latency electrolaryngeal speech enhancement based on Fastspeech2-based voice conversion and self-supervised speech representation
K Kobayashi, T Hayashi, T Toda
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
Órdenes: Japan Science and Technology Agency
Disponibles en algún lugar: 6
Cycle-consistency training for end-to-end speech recognition
T Hori, R Astudillo, T Hayashi, Y Zhang, S Watanabe, J Le Roux
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
Órdenes: Fundação para a Ciência e a Tecnologia, Portugal
ESPnet-SE: End-to-end speech enhancement and separation toolkit designed for ASR integration
C Li, J Shi, W Zhang, AS Subramanian, X Chang, N Kamo, M Hira, ...
2021 IEEE Spoken Language Technology Workshop (SLT), 785-792, 2021
Órdenes: National Natural Science Foundation of China
S3prl-vc: Open-source voice conversion framework with self-supervised speech representations
WC Huang, SW Yang, T Hayashi, HY Lee, S Watanabe, T Toda
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
Órdenes: Japan Science and Technology Agency
A comparative study of self-supervised speech representation based voice conversion
WC Huang, SW Yang, T Hayashi, T Toda
IEEE Journal of Selected Topics in Signal Processing 16 (6), 1308-1318, 2022
Órdenes: Japan Science and Technology Agency
Note-level automatic guitar transcription using attention mechanism
S Kim, T Hayashi, T Toda
2022 30th European Signal Processing Conference (EUSIPCO), 229-233, 2022
Órdenes: Japan Science and Technology Agency
Espnet-onnx: Bridging a gap between research and production
M Someki, Y Higuchi, T Hayashi, S Watanabe
2022 Asia-Pacific Signal and Information Processing Association Annual …, 2022
Órdenes: US National Science Foundation
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