Initial Experiments with Estonian Speech Recognition. - Anton Ragni (NODALIDA, 2007)

Support vector machines for noise robust ASR. - Mark J. F. Gales; Anton Ragni; H. AlDamarki; C. Gautier (ASRU, 2009)

Structured Log Linear Models for Noise Robust Speech Recognition. - Shi-Xiong Zhang 001; Anton Ragni; Mark J. F. Gales (IEEE Signal Process. Lett., 2010)

Derivative kernels for noise robust ASR. - Anton Ragni; Mark J. F. Gales (ASRU, 2011)

Structured discriminative models for noise robust continuous speech recognition. - Anton Ragni; Mark John Francis Gales (ICASSP, 2011)

Inference algorithms for generative score-spaces. - Anton Ragni; Mark J. F. Gales (ICASSP, 2012)

Rapid Nonlinear Speaker Adaptation for Large-Vocabulary Continuous Speech Recognition. - Zoi Roupakia; Anton Ragni; Mark J. F. Gales (INTERSPEECH, 2012)

Structured discriminative models for speech recognition. - Mark J. F. Gales; Anton Ragni; Austin Zhang; Rogier C. van Dalen (MLSLP, 2012)

Efficient decoding with generative score-spaces using the expectation semiring. - Rogier C. van Dalen; Anton Ragni; Mark J. F. Gales (ICASSP, 2013)

Investigation of unsupervised adaptation of DNN acoustic models with filter bank input. - Takuya Yoshioka; Anton Ragni; Mark J. F. Gales (ICASSP, 2014)

Language independent and unsupervised acoustic models for speech recognition and keyword spotting. - Kate M. Knill; Mark J. F. Gales; Anton Ragni; Shakti P. Rath (INTERSPEECH, 2014)

Data augmentation for low resource languages. - Anton Ragni; Kate M. Knill; Shakti P. Rath; Mark J. F. Gales (INTERSPEECH, 2014)

Combining tandem and hybrid systems for improved speech recognition and keyword spotting on low resource languages. - Shakti P. Rath; Kate M. Knill; Anton Ragni; Mark J. F. Gales (INTERSPEECH, 2014)

Speech recognition and keyword spotting for low-resource languages: Babel project research at CUED. - Mark J. F. Gales; Kate M. Knill; Anton Ragni; Shakti P. Rath (SLTU, 2014)

Multilingual representations for low resource speech recognition and keyword search. - Jia Cui; Brian Kingsbury; Bhuvana Ramabhadran; Abhinav Sethy; Kartik Audhkhasi; Xiaodong Cui; Ellen Kislal; Lidia Mangu; Markus Nußbaum-Thom; Michael Picheny; Zoltán Tüske; Pavel Golik; et al. (ASRU, 2015)

Structured discriminative models using deep neural-network features. - Rogier C. van Dalen; Jingzhou Yang; Haipeng Wang; Anton Ragni; Chao Zhang 031; Mark J. F. Gales (ASRU, 2015)

Unicode-based graphemic systems for limited resource languages. - Mark J. F. Gales; Kate M. Knill; Anton Ragni (ICASSP, 2015)

A language space representation for speech recognition. - Anton Ragni; Mark J. F. Gales; Kate M. Knill (ICASSP, 2015)

Improving speech recognition and keyword search for low resource languages using web data. - Gideon Mendels; Erica Cooper; Victor Soto; Julia Hirschberg; Mark J. F. Gales; Kate M. Knill; Anton Ragni; Haipeng Wang (INTERSPEECH, 2015)

Joint decoding of tandem and hybrid systems for improved keyword spotting on low resource languages. - Haipeng Wang; Anton Ragni; Mark J. F. Gales; Kate M. Knill; Philip C. Woodland; Chao Zhang 031 (INTERSPEECH, 2015)

System combination with log-linear models. - J. Yang; Chao Zhang 031; Anton Ragni; Mark J. F. Gales; Philip C. Woodland (ICASSP, 2016)

Multi-Language Neural Network Language Models. - Anton Ragni; Edgar Dakin; Xie Chen 001; Mark J. F. Gales; Kate M. Knill (INTERSPEECH, 2016)

Log-Linear System Combination Using Structured Support Vector Machines. - Jingzhou Yang; Anton Ragni; Mark J. F. Gales; Kate M. Knill (INTERSPEECH, 2016)

Incorporating Uncertainty into Deep Learning for Spoken Language Assessment. - Andrey Malinin; Anton Ragni; Kate M. Knill; Mark J. F. Gales (ACL (2), 2017)

Future word contexts in neural network language models. - Xie Chen 001; X. Liu; Anton Ragni; Y. Wang; Mark J. F. Gales (ASRU, 2017)

Recurrent neural network language models for keyword search. - Xie Chen 001; Anton Ragni; J. Vasilakes; Xunying Liu; Kate M. Knill; Mark J. F. Gales (ICASSP, 2017)

Morph-to-word transduction for accurate and efficient automatic speech recognition and keyword search. - Anton Ragni; Danielle Saunders; P. Zahemszky; J. Vasilakes; Mark J. F. Gales; Kate M. Knill (ICASSP, 2017)

Stimulated training for automatic speech recognition and keyword search in limited resource conditions. - Anton Ragni; Chunyang Wu; Mark J. F. Gales; J. Vasilakes; Kate M. Knill (ICASSP, 2017)

Investigating Bidirectional Recurrent Neural Network Language Models for Speech Recognition. - Xie Chen 001; Anton Ragni; Xunying Liu; Mark J. F. Gales (INTERSPEECH, 2017)

Use of Graphemic Lexicons for Spoken Language Assessment. - Kate M. Knill; Mark J. F. Gales; Konstantinos Kyriakopoulos; Anton Ragni; Yu Wang 027 (INTERSPEECH, 2017)

An attention based model for off-topic spontaneous spoken response detection: An Initial Study. - Andrey Malinin; Kate M. Knill; Anton Ragni; Yu Wang 027; Mark J. F. Gales (SLaTE, 2017)

Low-Resource Speech Recognition and Keyword-Spotting. - Mark J. F. Gales; Kate M. Knill; Anton Ragni (SPECOM, 2017)

Future Word Contexts in Neural Network Language Models. - Xie Chen 001; Xunying Liu; Anton Ragni; Yu Wang 027; Mark J. F. Gales (CoRR, 2017)

Phonetic and Graphemic Systems for Multi-Genre Broadcast Transcription. - Yu Wang 027; Xie Chen 001; Mark J. F. Gales; Anton Ragni; Jeremy Heng Meng Wong (ICASSP, 2018)

Active Memory Networks for Language Modeling. - Oscar Chen; Anton Ragni; Mark J. F. Gales; Xie Chen 001 (INTERSPEECH, 2018)

Impact of ASR Performance on Free Speaking Language Assessment. - Kate M. Knill; Mark J. F. Gales; Konstantinos Kyriakopoulos; Andrey Malinin; Anton Ragni; Yu Wang 027; Andrew Caines (INTERSPEECH, 2018)

Automatic Speech Recognition System Development in the "Wild". - Anton Ragni; Mark J. F. Gales (INTERSPEECH, 2018)

Confidence Estimation and Deletion Prediction Using Bidirectional Recurrent Neural Networks. - Anton Ragni; Qiujia Li; Mark J. F. Gales; Yongqiang Wang 006 (SLT, 2018)

Sequence Teacher-Student Training of Acoustic Models for Automatic Free Speaking Language Assessment. - Yu Wang 027; Jeremy Heng Meng Wong; Mark J. F. Gales; Kate M. Knill; Anton Ragni (SLT, 2018)

Confidence Estimation and Deletion Prediction Using Bidirectional Recurrent Neural Networks. - Anton Ragni; Qiujia Li; Mark J. F. Gales; Yu Wang 027 (CoRR, 2018)

Improving Interpretability and Regularization in Deep Learning. - Chunyang Wu; Mark J. F. Gales; Anton Ragni; Penny Karanasou; Khe Chai Sim (IEEE ACM Trans. Audio Speech Lang. Process., 2018)

Experiments with Cross-Language Speech Retrieval for Lower-Resource Languages. - Suraj Nair 001; Anton Ragni; Ondrej Klejch; Petra Galuscáková; Douglas W. Oard (AIRS, 2019)

Surprise Languages: Rapid-Response Cross-Language IR. - Douglas W. Oard; Marine Carpuat; Petra Galuscáková; Joseph Barrow; Suraj Nair 001; Xing Niu 001; Han-Chin Shing; Weijia Xu; Elena Zotkina; Kathleen R. McKeown; Smaranda Muresan; Efsun Selin Kayi; et al. (EVIA@NTCIR, 2019)

Bi-directional Lattice Recurrent Neural Networks for Confidence Estimation. - Qiujia Li; Preben Ness; Anton Ragni; Mark J. F. Gales (ICASSP, 2019)

Exploiting Future Word Contexts in Neural Network Language Models for Speech Recognition. - Xie Chen 001; Xunying Liu; Yu Wang 027; Anton Ragni; Jeremy Heng Meng Wong; Mark J. F. Gales (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

Confidence Estimation for Black Box Automatic Speech Recognition Systems Using Lattice Recurrent Neural Networks. - Alexandros Kastanos; Anton Ragni; Mark J. F. Gales (ICASSP, 2020)

Continuous representations of intents for dialogue systems. - Sindre André Jacobsen; Anton Ragni (CoRR, 2021)

Approximate Fixed-Points in Recurrent Neural Networks. - Zhengxiong Wang; Anton Ragni (CoRR, 2021)

HERB: Measuring Hierarchical Regional Bias in Pre-trained Language Models. - Yizhi Li; Ge Zhang 009; Bohao Yang; Chenghua Lin; Anton Ragni; Shi Wang 002; Jie Fu 001 (AACL/IJCNLP (Findings), 2022)

MAP-Music2Vec: A Simple and Effective Baseline for Self-Supervised Music Audio Representation Learning. - Yizhi Li; Ruibin Yuan; Ge Zhang 009; Yinghao Ma; Chenghua Lin; Xingran Chen; Anton Ragni; Hanzhi Yin; Zhijie Hu; Haoyu He; Emmanouil Benetos; Norbert Gyenge; et al. (CoRR, 2022)

Increasing Context for Estimating Confidence Scores in Automatic Speech Recognition. - Anton Ragni; Mark J. F. Gales; Oliver Rose; Katherine M. Knill; Alexandros Kastanos; Qiujia Li; Preben Ness (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Adapting Pretrained Models for Adult to Child Voice Conversion. - Protima Nomo Sudro; Anton Ragni; Thomas Hain (EUSIPCO, 2023)

Leveraging Cross-Utterance Context For ASR Decoding. - Robert Flynn; Anton Ragni (INTERSPEECH, 2023)

Speak & Improve: L2 English Speaking Practice Tool. - Diane Nicholls; Kate M. Knill; Mark J. F. Gales; Anton Ragni; Paul Ricketts (INTERSPEECH, 2023)

On the Effectiveness of Speech Self-Supervised Learning for Music. - Yinghao Ma; Ruibin Yuan; Yizhi Li; Ge Zhang 009; Chenghua Lin; Xingran Chen; Anton Ragni; Hanzhi Yin; Emmanouil Benetos; Norbert Gyenge; Ruibo Liu; Gus Xia; et al. (ISMIR, 2023)

MARBLE: Music Audio Representation Benchmark for Universal Evaluation. - Ruibin Yuan; Yinghao Ma; Yizhi Li; Ge Zhang 009; Xingran Chen; Hanzhi Yin; Le Zhuo; Yiqi Liu; Jiawen Huang; Zeyue Tian; Binyue Deng; Ningzhi Wang; et al. (NeurIPS, 2023)

MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training. - Yizhi Li; Ruibin Yuan; Ge Zhang 009; Yinghao Ma; Xingran Chen; Hanzhi Yin; Chenghua Lin; Anton Ragni; Emmanouil Benetos; Norbert Gyenge; Roger B. Dannenberg; Ruibo Liu; et al. (CoRR, 2023)

Non-Intrusive Speech Intelligibility Prediction for Hearing-Impaired Users Using Intermediate ASR Features and Human Memory Models. - Rhiannon Mogridge; George Close; Robert Sutherland; Thomas Hain; Jon Barker; Stefan Goetze; Anton Ragni (ICASSP, 2024)

Energy-Based Models for Speech Synthesis. - Wanli Sun; Zehai Tu; Anton Ragni (ICASSP, 2024)

MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training. - Yizhi Li; Ruibin Yuan; Ge Zhang 009; Yinghao Ma; Xingran Chen; Hanzhi Yin; Chenghao Xiao; Chenghua Lin; Anton Ragni; Emmanouil Benetos; Norbert Gyenge; Roger B. Dannenberg; et al. (ICLR, 2024)

How Much Context Does My Attention-Based ASR System Need? - Robert Flynn; Anton Ragni (INTERSPEECH, 2024)

Self-Train Before You Transcribe. - Robert Flynn; Anton Ragni (INTERSPEECH, 2024)

Training Data Augmentation for Dysarthric Automatic Speech Recognition by Text-to-Dysarthric-Speech Synthesis. - Wing-Zin Leung; Mattias Cross; Anton Ragni; Stefan Goetze (INTERSPEECH, 2024)

Learning from memory-based models. - Rhiannon Mogridge; Anton Ragni (INTERSPEECH, 2024)

Foundation Models for Music: A Survey. - Yinghao Ma; Anders Øland; Anton Ragni; Bleiz Macsen Del Sette; Charalampos Saitis; Chris Donahue; Chenghua Lin; Christos Plachouras; Emmanouil Benetos; Elio Quinton; Elona Shatri; Fabio Morreale; et al. (CoRR, 2024)

What happens to diffusion model likelihood when your model is conditional? - Mattias Cross; Anton Ragni (CoRR, 2024)

VisualSpeech: Enhance Prosody with Visual Context in TTS. - Shumin Que; Anton Ragni (CoRR, 2025)

Score-Based Training for Energy-Based TTS Models. - Wanli Sun; Anton Ragni (CoRR, 2025)

Minerva 2 for speech and language tasks. - Rhiannon Mogridge; Anton Ragni (Comput. Speech Lang., 2026)