Seuraa
Dan Su
Dan Su
Tencent AI Lab
Vahvistettu sähköpostiosoite verkkotunnuksessa tencent.com
Nimike
Viittaukset
Viittaukset
Vuosi
Durian: Duration informed attention network for multimodal synthesis
C Yu, H Lu, N Hu, M Yu, C Weng, K Xu, P Liu, D Tuo, S Kang, G Lei, D Su, ...
arXiv preprint arXiv:1909.01700, 2019
1782019
Gigaspeech: An evolving, multi-domain asr corpus with 10,000 hours of transcribed audio
G Chen, S Chai, G Wang, J Du, WQ Zhang, C Weng, D Su, D Povey, ...
arXiv preprint arXiv:2106.06909, 2021
1162021
Replay and synthetic speech detection with res2net architecture
X Li, N Li, C Weng, X Liu, D Su, D Yu, H Meng
ICASSP 2021-2021 IEEE international conference on acoustics, speech and …, 2021
1002021
Deep extractor network for target speaker recovery from single channel speech mixtures
J Wang, J Chen, D Su, L Chen, M Yu, Y Qian, D Yu
arXiv preprint arXiv:1807.08974, 2018
952018
Component fusion: Learning replaceable language model component for end-to-end speech recognition system
C Shan, C Weng, G Wang, D Su, M Luo, D Yu, L Xie
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
902019
Neural Spatial Filter: Target Speaker Speech Separation Assisted with Directional Information.
R Gu, L Chen, SX Zhang, J Zheng, Y Xu, M Yu, D Su, Y Zou, D Yu
Interspeech, 4290-4294, 2019
752019
Investigating end-to-end speech recognition for mandarin-english code-switching
C Shan, C Weng, G Wang, D Su, M Luo, D Yu, L Xie
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
742019
Fastdiff: A fast conditional diffusion model for high-quality speech synthesis
R Huang, MWY Lam, J Wang, D Su, D Yu, Y Ren, Z Zhao
arXiv preprint arXiv:2204.09934, 2022
732022
End-to-end multi-channel speech separation
R Gu, J Wu, SX Zhang, L Chen, Y Xu, M Yu, D Su, Y Zou, D Yu
arXiv preprint arXiv:1905.06286, 2019
722019
Deep Discriminative Embeddings for Duration Robust Speaker Verification.
N Li, D Tuo, D Su, Z Li, D Yu, A Tencent
Interspeech, 2262-2266, 2018
722018
Improving Attention Based Sequence-to-Sequence Models for End-to-End English Conversational Speech Recognition.
C Weng, J Cui, G Wang, J Wang, C Yu, D Su, D Yu
Interspeech, 761-765, 2018
602018
Enhancing end-to-end multi-channel speech separation via spatial feature learning
R Gu, SX Zhang, L Chen, Y Xu, M Yu, D Su, Y Zou, D Yu
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
562020
Speech-XLNet: Unsupervised acoustic model pretraining for self-attention networks
X Song, G Wang, Z Wu, Y Huang, D Su, D Yu, H Meng
arXiv preprint arXiv:1910.10387, 2019
482019
BDDM: Bilateral denoising diffusion models for fast and high-quality speech synthesis
MWY Lam, J Wang, D Su, D Yu
arXiv preprint arXiv:2203.13508, 2022
472022
Sandglasset: A light multi-granularity self-attentive network for time-domain speech separation
MWY Lam, J Wang, D Su, D Yu
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
412021
Joint training of complex ratio mask based beamformer and acoustic model for noise robust asr
Y Xu, C Weng, L Hui, J Liu, M Yu, D Su, D Yu
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
402019
GMM-HMM acoustic model training by a two level procedure with Gaussian components determined by automatic model selection
D Su, X Wu, L Xu
2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010
382010
Investigating robustness of adversarial samples detection for automatic speaker verification
X Li, N Li, J Zhong, X Wu, X Liu, D Su, D Yu, H Meng
arXiv preprint arXiv:2006.06186, 2020
372020
Speaker-aware target speaker enhancement by jointly learning with speaker embedding extraction
X Ji, M Yu, C Zhang, D Su, T Yu, X Liu, D Yu
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
312020
End-to-end accent conversion without using native utterances
S Liu, D Wang, Y Cao, L Sun, X Wu, S Kang, Z Wu, X Liu, D Su, D Yu, ...
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
302020
Järjestelmä ei voi suorittaa toimenpidettä nyt. Yritä myöhemmin uudelleen.
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