| Speech recognition and keyword spotting for low-resource languages: Babel project research at cued MJF Gales, KM Knill, A Ragni, SP Rath Fourth International workshop on spoken language technologies for under …, 2014 | 202 | 2014 |
| Data augmentation for low resource languages A Ragni, KM Knill, SP Rath, MJF Gales INTERSPEECH 2014: 15th annual conference of the international speech …, 2014 | 163 | 2014 |
| Multilingual representations for low resource speech recognition and keyword search J Cui, B Kingsbury, B Ramabhadran, A Sethy, K Audhkhasi, X Cui, ... 2015 IEEE workshop on automatic speech recognition and understanding (ASRU …, 2015 | 112 | 2015 |
| Unicode-based graphemic systems for limited resource languages MJF Gales, KM Knill, A Ragni 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 59 | 2015 |
| Joint decoding of tandem and hybrid systems for improved keyword spotting on low resource languages H Wang, A Ragni, MJF Gales, KM Knill, PC Woodland, C Zhang INTERSPEECH 2015: 16th Annual Conference of the International Speech …, 2015 | 54 | 2015 |
| Investigation of unsupervised adaptation of DNN acoustic models with filter bank input T Yoshioka, A Ragni, MJF Gales 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 52 | 2014 |
| Language independent and unsupervised acoustic models for speech recognition and keyword spotting KM Knill, MJF Gales, A Ragni, SP Rath | 52 | 2014 |
| Investigating bidirectional recurrent neural network language models for speech recognition X Chen, A Ragni, X Liu, MJF Gales Proceedings of Interspeech 2017, 269-273, 2017 | 51 | 2017 |
| Improving speech recognition and keyword search for low resource languages using web data G Mendels, E Cooper, V Soto, J Hirschberg, MJF Gales, KM Knill, A Ragni, ... INTERSPEECH 2015: 16th Annual Conference of the International Speech …, 2015 | 48 | 2015 |
| Improving interpretability and regularization in deep learning C Wu, MJF Gales, A Ragni, P Karanasou, KC Sim IEEE/ACM Transactions on Audio, Speech, and Language Processing 26 (2), 256-265, 2017 | 44 | 2017 |
| Support vector machines for noise robust ASR MJF Gales, A Ragni, H AlDamarki, C Gautier 2009 IEEE Workshop on Automatic Speech Recognition & Understanding, 205-210, 2009 | 41 | 2009 |
| Confidence estimation and deletion prediction using bidirectional recurrent neural networks A Ragni, Q Li, MJF Gales, Y Wang 2018 IEEE Spoken Language Technology Workshop (SLT), 204-211, 2018 | 38 | 2018 |
| Structured log linear models for noise robust speech recognition SX Zhang, A Ragni, MJF Gales IEEE Signal Processing Letters 17 (11), 945-948, 2010 | 37 | 2010 |
| Mert: Acoustic music understanding model with large-scale self-supervised training Y Li, R Yuan, G Zhang, Y Ma, X Chen, H Yin, C Lin, A Ragni, E Benetos, ... arXiv preprint arXiv:2306.00107, 2023 | 36 | 2023 |
| Future word contexts in neural network language models X Chen, X Liu, A Ragni, Y Wang, MJF Gales 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 97-103, 2017 | 34 | 2017 |
| Bi-directional lattice recurrent neural networks for confidence estimation Q Li, PM Ness, A Ragni, MJF Gales ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 32 | 2019 |
| Incorporating uncertainty into deep learning for spoken language assessment A Malinin, A Ragni, K Knill, M Gales Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 32 | 2017 |
| Derivative kernels for noise robust ASR A Ragni, MJF Gales 2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 119-124, 2011 | 32 | 2011 |
| Combining tandem and hybrid systems for improved speech recognition and keyword spotting on low resource languages SP Rath, KM Knill, A Ragni, MJF Gales | 25 | 2014 |
| Phonetic and graphemic systems for multi-genre broadcast transcription Y Wang, X Chen, MJF Gales, A Ragni, JHM Wong 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 24 | 2018 |
