Követés
Jinchuan Tian
Jinchuan Tian
Language Technologies Institute, Carnegie Mellon University
E-mail megerősítve itt: andrew.cmu.edu
Cím
Hivatkozott rá
Hivatkozott rá
Év
Uniaudio: An audio foundation model toward universal audio generation
D Yang, J Tian, X Tan, R Huang, S Liu, X Chang, J Shi, S Zhao, J Bian, ...
arXiv preprint arXiv:2310.00704, 2023
522023
Hifi-codec: Group-residual vector quantization for high fidelity audio codec
D Yang, S Liu, R Huang, J Tian, C Weng, Y Zou
arXiv preprint arXiv:2305.02765, 2023
492023
Reproducing whisper-style training using an open-source toolkit and publicly available data
Y Peng, J Tian, B Yan, D Berrebbi, X Chang, X Li, J Shi, S Arora, W Chen, ...
2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 1-8, 2023
232023
LAE: Language-aware encoder for monolingual and multilingual asr
J Tian, J Yu, C Zhang, C Weng, Y Zou, D Yu
Interspeech 2022, 2022
162022
Exploring speech recognition, translation, and understanding with discrete speech units: A comparative study
X Chang, B Yan, K Choi, JW Jung, Y Lu, S Maiti, R Sharma, J Shi, J Tian, ...
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
152024
OWSM v3. 1: Better and faster open whisper-style speech models based on e-branchformer
Y Peng, J Tian, W Chen, S Arora, B Yan, Y Sudo, M Shakeel, K Choi, ...
arXiv preprint arXiv:2401.16658, 2024
132024
Consistent training and decoding for end-to-end speech recognition using lattice-free MMI
J Tian, J Yu, C Weng, SX Zhang, D Su, D Yu, Y Zou
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
132022
Improving Mandarin End-to-End Speech Recognition with Word N-gram Language Model
J Tian, J Yu, C Weng, Y Zou, D Yu
IEEE Signal Processing Letters 29, 812-816, 2022
102022
Integrating Lattice-Free MMI into End-to-End Speech Recognition
J Tian, J Yu, C Weng, Y Zou, D Yu
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2022
8*2022
Bayes risk CTC: Controllable CTC alignment in Sequence-to-Sequence tasks
J Tian, B Yan, J Yu, C Weng, D Yu, S Watanabe
International Conference on Learning Representations (ICLR) 2023, 2022
72022
A random gossip BMUF process for neural language modeling
Y Huang, J Tian, L Han, G Wang, X Song, D Su, D Yu
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
32020
AutoPrep: An Automatic Preprocessing Framework for In-The-Wild Speech Data
J Yu, H Chen, Y Bian, X Li, Y Luo, J Tian, M Liu, J Jiang, S Wang
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
22024
The minetrans systems for iwslt 2023 offline speech translation and speech-to-speech translation tasks
Y Du, G Zhengsheng, J Tian, Z Zhang, X Wang, J Yu, Z Tu, T Xu, E Chen
Proceedings of the 20th International Conference on Spoken Language …, 2023
22023
Speaker-Aware Mixture of Mixtures Training for Weakly Supervised Speaker Extraction
Z Zhao, R Gu, D Yang, J Tian, Y Zou
Interspeech 2022, 2022
22022
The Interspeech 2024 Challenge on Speech Processing Using Discrete Units
X Chang, J Shi, J Tian, Y Wu, Y Tang, Y Wu, S Watanabe, Y Adi, X Chen, ...
arXiv preprint arXiv:2406.07725, 2024
12024
Towards Robust Speech Representation Learning for Thousands of Languages
W Chen, W Zhang, Y Peng, X Li, J Tian, J Shi, X Chang, S Maiti, K Livescu, ...
arXiv preprint arXiv:2407.00837, 2024
2024
On the Effects of Heterogeneous Data Sources on Speech-to-Text Foundation Models
J Tian, Y Peng, W Chen, K Choi, K Livescu, S Watanabe
arXiv preprint arXiv:2406.09282, 2024
2024
ML-SUPERB 2.0: Benchmarking Multilingual Speech Models Across Modeling Constraints, Languages, and Datasets
J Shi, SH Wang, W Chen, M Bartelds, VB Kumar, J Tian, X Chang, ...
arXiv preprint arXiv:2406.08641, 2024
2024
Bayes Risk Transducer: Transducer with Controllable Alignment Prediction
J Tian, J Yu, H Chen, B Yan, C Weng, D Yu, S Watanabe
arXiv preprint arXiv:2308.10107, 2023
2023
UniAudio: Towards Universal Audio Generation with Large Language Models
D Yang, J Tian, X Tan, R Huang, S Liu, H Guo, X Chang, J Shi, J Bian, ...
Forty-first International Conference on Machine Learning, 0
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