Inverse text normalization for automatic speech recognition EJ Pusateri, BR Ambati, ES Brooks, DR McAllaster, V Nagesha, O Platek US Patent 10,592,604, 2020 | 114 | 2020 |
Systems and methods for combining subword recognition and whole word recognition of a spoken input JM Van Thong, E Pusateri US Patent 6,985,861, 2006 | 106 | 2006 |
A Mostly Data-Driven Approach to Inverse Text Normalization. E Pusateri, BR Ambati, E Brooks, O Platek, D McAllaster, V Nagesha INTERSPEECH, 2784-2788, 2017 | 36 | 2017 |
N-best list generation using word and phoneme recognition fusion E Pusateri, JMV Thong Seventh European Conference on Speech Communication and Technology, 2001 | 17 | 2001 |
Connecting and comparing language model interpolation techniques E Pusateri, C Van Gysel, R Botros, S Badaskar, M Hannemann, Y Oualil, ... arXiv preprint arXiv:1908.09738, 2019 | 14 | 2019 |
Rapid speaker adaptation using speaker clustering EJ Pusateri, TJ Hazen Seventh International Conference on Spoken Language Processing, 2002 | 14 | 2002 |
Error-driven pruning of language models for virtual assistants S Gondala, L Verwimp, E Pusateri, M Tsagkias, C Van Gysel ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 10 | 2021 |
Predicting entity popularity to improve spoken entity recognition by virtual assistants C Van Gysel, M Tsagkias, E Pusateri, I Oparin Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 9 | 2020 |
Acoustic model fusion for end-to-end speech recognition Z Lei, M Xu, S Han, L Liu, Z Huang, T Ng, Y Zhang, E Pusateri, ... 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 1-7, 2023 | 8 | 2023 |
Space-efficient representation of entity-centric query language models C Van Gysel, M Hannemann, E Pusateri, Y Oualil, I Oparin arXiv preprint arXiv:2206.14885, 2022 | 8 | 2022 |
A discriminative entity-aware language model for virtual assistants M Saebi, E Pusateri, A Meghawat, C Van Gysel arXiv preprint arXiv:2106.11292, 2021 | 7 | 2021 |
Personalization of ctc-based end-to-end speech recognition using pronunciation-driven subword tokenization Z Lei, E Pusateri, S Han, L Liu, M Xu, T Ng, R Travadi, Y Zhang, ... ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 6 | 2024 |
Contextualization of ASR with LLM using phonetic retrieval-based augmentation Z Lei, X Na, M Xu, E Pusateri, C Van Gysel, Y Zhang, S Han, Z Huang arXiv preprint arXiv:2409.15353, 2024 | | 2024 |
Retrieval Augmented Correction of Named Entity Speech Recognition Errors E Pusateri, A Walia, A Kashi, B Bandyopadhyay, N Hyder, S Mahinder, ... arXiv preprint arXiv:2409.06062, 2024 | | 2024 |
Neural Language Model Pruning for Automatic Speech Recognition L Emili, T Fraga-Silva, E Pusateri, M Nußbaum-Thom, Y Oualil arXiv preprint arXiv:2310.03424, 2023 | | 2023 |
Rapid speaker adaptation with speaker clustering EJ Pusateri Massachusetts Institute of Technology, 2002 | | 2002 |
Using Prosodic Consistency for Improved Speech Recognition E Pusateri, J Glass | | |