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2020 – today
- 2025
[i12]Shucong Zhang, Titouan Parcollet, Rogier van Dalen, Sourav Bhattacharya:
Benchmarking Rotary Position Embeddings for Automatic Speech Recognition. CoRR abs/2501.06051 (2025)- 2024
- [j2]Titouan Parcollet, Ha Nguyen, Solène Evain, Marcely Zanon Boito, Adrien Pupier, Salima Mdhaffar, Hang Le, Sina Alisamir, Natalia A. Tomashenko, Marco Dinarelli, Shucong Zhang, Alexandre Allauzen, Maximin Coavoux, Yannick Estève, Mickael Rouvier, Jérôme Goulian, Benjamin Lecouteux, François Portet, Solange Rossato, Fabien Ringeval, Didier Schwab, Laurent Besacier:
LeBenchmark 2.0: A standardized, replicable and enhanced framework for self-supervised representations of French speech. Comput. Speech Lang. 86: 101622 (2024) - [i11]Mirco Ravanelli, Titouan Parcollet, Adel Moumen, Sylvain de Langen, Cem Subakan, Peter Plantinga, Yingzhi Wang, Pooneh Mousavi, Luca Della Libera, Artem Ploujnikov, Francesco Paissan, Davide Borra, Salah Zaiem, Zeyu Zhao, Shucong Zhang, Georgios Karakasidis, Sung-Lin Yeh, Pierre Champion, Aku Rouhe, Rudolf Braun, Florian Mai, Juan Zuluaga-Gomez, Seyed Mahed Mousavi, Andreas Nautsch, Xuechen Liu, Sangeet Sagar, Jarod Duret, Salima Mdhaffar, Gaëlle Laperrière, Mickael Rouvier, Renato De Mori, Yannick Estève:
Open-Source Conversational AI with SpeechBrain 1.0. CoRR abs/2407.00463 (2024) - [i10]Shucong Zhang, Titouan Parcollet, Rogier van Dalen, Sourav Bhattacharya:
Linear-Complexity Self-Supervised Learning for Speech Processing. CoRR abs/2407.13377 (2024) - [i9]Titouan Parcollet, Rogier van Dalen, Shucong Zhang, Sourav Batthacharya:
Linear Time Complexity Conformers with SummaryMixing for Streaming Speech Recognition. CoRR abs/2409.07165 (2024) - 2023
- [c10]Titouan Parcollet, Shucong Zhang, Rogier van Dalen, Alberto Gil C. P. Ramos, Sourav Bhattacharya:
On the (In)Efficiency of Acoustic Feature Extractors for Self-Supervised Speech Representation Learning. INTERSPEECH 2023: 581-585 - [c9]Shucong Zhang, Malcolm Chadwick, Alberto Gil C. P. Ramos, Titouan Parcollet, Rogier van Dalen, Sourav Bhattacharya:
Real-Time Personalised Speech Enhancement Transformers with Dynamic Cross-attended Speaker Representations. INTERSPEECH 2023: 804-808 - [i8]Titouan Parcollet, Rogier van Dalen, Shucong Zhang, Sourav Bhattacharya:
Sumformer: A Linear-Complexity Alternative to Self-Attention for Speech Recognition. CoRR abs/2307.07421 (2023) - [i7]Titouan Parcollet, Ha Nguyen, Solène Evain, Marcely Zanon Boito, Adrien Pupier, Salima Mdhaffar, Hang Le, Sina Alisamir, Natalia A. Tomashenko, Marco Dinarelli, Shucong Zhang, Alexandre Allauzen, Maximin Coavoux, Yannick Estève, Mickael Rouvier, Jérôme Goulian, Benjamin Lecouteux, François Portet, Solange Rossato, Fabien Ringeval, Didier Schwab, Laurent Besacier:
LeBenchmark 2.0: a Standardized, Replicable and Enhanced Framework for Self-supervised Representations of French Speech. CoRR abs/2309.05472 (2023) - 2022
- [c8]Mohan Li, Shucong Zhang, Catalin Zorila, Rama Doddipatla
:
Transformer-Based Streaming ASR with Cumulative Attention. ICASSP 2022: 8272-8276 - [i6]Mohan Li, Shucong Zhang, Catalin Zorila, Rama Doddipatla:
Transformer-based Streaming ASR with Cumulative Attention. CoRR abs/2203.05736 (2022) - [i5]Shucong Zhang, Malcolm Chadwick, Alberto Gil C. P. Ramos, Sourav Bhattacharya:
Cross-Attention is all you need: Real-Time Streaming Transformers for Personalised Speech Enhancement. CoRR abs/2211.04346 (2022) - 2021
- [c7]Shucong Zhang, Cong-Thanh Do, Rama Doddipatla, Erfan Loweimi, Peter Bell, Steve Renals:
Train Your Classifier First: Cascade Neural Networks Training from Upper Layers to Lower Layers. ICASSP 2021: 2750-2754 - [c6]Shucong Zhang, Erfan Loweimi, Peter Bell, Steve Renals:
Stochastic Attention Head Removal: A Simple and Effective Method for Improving Transformer Based ASR Models. Interspeech 2021: 2541-2545 - [c5]Shucong Zhang, Erfan Loweimi, Peter Bell, Steve Renals:
On The Usefulness of Self-Attention for Automatic Speech Recognition with Transformers. SLT 2021: 89-96 - [i4]Shucong Zhang, Cong-Thanh Do, Rama Doddipatla, Erfan Loweimi, Peter Bell, Steve Renals:
Train your classifier first: Cascade Neural Networks Training from upper layers to lower layers. CoRR abs/2102.04697 (2021) - 2020
- [c4]Cong-Thanh Do, Shucong Zhang, Thomas Hain:
Selective Adaptation of End-to-End Speech Recognition using Hybrid CTC/Attention Architecture for Noise Robustness. EUSIPCO 2020: 321-325 - [c3]Shucong Zhang, Cong-Thanh Do, Rama Doddipatla, Steve Renals:
Learning Noise Invariant Features Through Transfer Learning For Robust End-to-End Speech Recognition. ICASSP 2020: 7024-7028 - [i3]Shucong Zhang, Erfan Loweimi, Peter Bell, Steve Renals:
When Can Self-Attention Be Replaced by Feed Forward Layers? CoRR abs/2005.13895 (2020) - [i2]Shucong Zhang, Erfan Loweimi, Peter Bell, Steve Renals:
Stochastic Attention Head Removal: A Simple and Effective Method for Improving Automatic Speech Recognition with Transformers. CoRR abs/2011.04004 (2020) - [i1]Shucong Zhang, Erfan Loweimi, Peter Bell, Steve Renals:
On the Usefulness of Self-Attention for Automatic Speech Recognition with Transformers. CoRR abs/2011.04906 (2020)
2010 – 2019
- 2019
- [c2]Shucong Zhang, Erfan Loweimi, Peter Bell, Steve Renals:
Windowed Attention Mechanisms for Speech Recognition. ICASSP 2019: 7100-7104 - [c1]Shucong Zhang, Erfan Loweimi, Yumo Xu, Peter Bell, Steve Renals:
Trainable Dynamic Subsampling for End-to-End Speech Recognition. INTERSPEECH 2019: 1413-1417 - 2018
- [j1]Shucong Zhang, Yong Zhou:
Variable screening for ultrahigh dimensional heterogeneous data via conditional quantile correlations. J. Multivar. Anal. 165: 1-13 (2018)
Coauthor Index
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