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2020 – today
- 2023
[c15]Sibo Tong, Philip Harding, Simon Wiesler:
Hierarchical Attention-Based Contextual Biasing For Personalized Speech Recognition Using Neural Transducers. ASRU 2023: 1-8- [c14]Sibo Tong, Philip Harding, Simon Wiesler:
Slot-Triggered Contextual Biasing For Personalized Speech Recognition Using Neural Transducers. ICASSP 2023: 1-5 - [c13]Philip Harding, Sibo Tong, Simon Wiesler:
Selective Biasing with Trie-based Contextual Adapters for Personalised Speech Recognition using Neural Transducers. INTERSPEECH 2023: 256-260 - [c12]Burin Naowarat, Philip Harding, Pasquale D'Alterio, Sibo Tong, Bashar Awwad Shiekh Hasan:
Effective Training of Attention-based Contextual Biasing Adapters with Synthetic Audio for Personalised ASR. INTERSPEECH 2023: 1264-1268 - [c11]Yiting Lu, Philip Harding, Kanthashree Mysore Sathyendra, Sibo Tong, Xuandi Fu, Jing Liu, Feng-Ju Chang, Simon Wiesler, Grant P. Strimel:
Model-Internal Slot-triggered Biasing for Domain Expansion in Neural Transducer ASR Models. INTERSPEECH 2023: 1324-1328 - 2021
- [j2]Philip N. Garner
, Sibo Tong:
A Bayesian Approach to Recurrence in Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 43(8): 2527-2537 (2021) - 2020
- [c10]Srikanth R. Madikeri, Banriskhem K. Khonglah, Sibo Tong, Petr Motlícek, Hervé Bourlard, Daniel Povey:
Lattice-Free Maximum Mutual Information Training of Multilingual Speech Recognition Systems. INTERSPEECH 2020: 4746-4750 - [i3]Srikanth R. Madikeri, Sibo Tong, Juan Zuluaga-Gomez, Apoorv Vyas, Petr Motlícek, Hervé Bourlard:
Pkwrap: a PyTorch Package for LF-MMI Training of Acoustic Models. CoRR abs/2010.03466 (2020)
2010 – 2019
- 2019
- [c9]Sibo Tong, Philip N. Garner, Hervé Bourlard:
An Investigation of Multilingual ASR Using End-to-end LF-MMI. ICASSP 2019: 6061-6065 - [c8]Apoorv Vyas, Pranay Dighe, Sibo Tong, Hervé Bourlard:
Analyzing Uncertainties in Speech Recognition Using Dropout. ICASSP 2019: 6730-6734 - [c7]Sibo Tong, Apoorv Vyas, Philip N. Garner, Hervé Bourlard:
Unbiased Semi-Supervised LF-MMI Training Using Dropout. INTERSPEECH 2019: 1576-1580 - [i2]Philip N. Garner, Sibo Tong:
A Bayesian Approach to Recurrence in Neural Networks. CoRR abs/1910.11247 (2019) - 2018
- [j1]Sibo Tong, Philip N. Garner, Hervé Bourlard:
Cross-lingual adaptation of a CTC-based multilingual acoustic model. Speech Commun. 104: 39-46 (2018) - [c6]Milos Cernak, Sibo Tong:
Nasal Speech Sounds Detection Using Connectionist Temporal Classification. ICASSP 2018: 5574-5578 - [c5]Sibo Tong, Philip N. Garner, Hervé Bourlard:
Fast Language Adaptation Using Phonological Information. INTERSPEECH 2018: 2459-2463 - 2017
- [c4]Renars Liepins, Ulrich Germann, Guntis Barzdins, Alexandra Birch, Steve Renals, Susanne Weber, Peggy van der Kreeft, Hervé Bourlard, João Prieto, Ondrej Klejch, Peter Bell, Alexandros Lazaridis, Afonso Mendes, Sebastian Riedel, Mariana S. C. Almeida, Pedro Balage, Shay B. Cohen, Tomasz Dwojak, Philip N. Garner, Andreas Giefer, Marcin Junczys-Dowmunt, Hina Imran, David Nogueira, Ahmed M. Ali, Sebastião Miranda, Andrei Popescu-Belis, Lesly Miculicich Werlen, Nikos Papasarantopoulos, Abiola Obamuyide, Clive Jones, Fahim Dalvi, Andreas Vlachos, Yang Wang, Sibo Tong, Rico Sennrich, Nikolaos Pappas, Shashi Narayan, Marco Damonte, Nadir Durrani, Sameer Khurana, Ahmed Abdelali, Hassan Sajjad, Stephan Vogel, David Sheppey, Chris Hernon, Jeff Mitchell:
The SUMMA Platform Prototype. EACL (Software Demonstrations) 2017: 116-119 - [c3]Sibo Tong, Philip N. Garner, Hervé Bourlard:
An Investigation of Deep Neural Networks for Multilingual Speech Recognition Training and Adaptation. INTERSPEECH 2017: 714-718 - [i1]Sibo Tong, Philip N. Garner, Hervé Bourlard:
Multilingual Training and Cross-lingual Adaptation on CTC-based Acoustic Model. CoRR abs/1711.10025 (2017) - 2016
- [c2]Sibo Tong, Hao Gu, Kai Yu:
A comparative study of robustness of deep learning approaches for VAD. ICASSP 2016: 5695-5699 - [c1]Yimeng Zhuang, Sibo Tong, Maofan Yin, Yanmin Qian, Kai Yu:
Multi-task joint-learning for robust voice activity detection. ISCSLP 2016: 1-5
Coauthor Index
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