Towards automatic parameter extraction of command-response model for Cantonese. - Raymond W. M. Ng; Tan Lee 001; Wentao Gu (INTERSPEECH, 2006)

Entropy-Based Analysis of the Prosodic Features of Chinese Dialects. - Raymond W. M. Ng; Tan Lee 001 (ISCSLP, 2008)

Analysis and Selection of Prosodic Features for Language Identification. - Raymond W. M. Ng; Tan Lee 001; Cheung-Chi Leung; Bin Ma 001; Haizhou Li 001 (IALP, 2009)

Analysis and Selection of Prosodic Features for Asian Language Recognition. - Raymond W. M. Ng; Tan Lee 001; Cheung-Chi Leung; Bin Ma 001; Haizhou Li 001 (Int. J. Asian Lang. Process., 2009)

Prosodic attribute model for spoken language identification. - Raymond W. M. Ng; Cheung-Chi Leung; Tan Lee 001; Bin Ma 001; Haizhou Li 001 (ICASSP, 2010)

Towards long-range prosodic attribute modeling for language recognition. - Raymond W. M. Ng; Cheung-Chi Leung; Ville Hautamäki; Tan Lee 001; Bin Ma 001; Haizhou Li 001 (INTERSPEECH, 2010)

Detection target dependent score calibration for language recognition. - Raymond W. M. Ng; Cheung-Chi Leung; Tan Lee 001; Bin Ma 001; Haizhou Li 001 (Odyssey, 2010)

Score fusion and calibration in multiple language detectors with large performance variation. - Raymond W. M. Ng; Cheung-Chi Leung; Tan Lee 001; Bin Ma 001; Haizhou Li 001 (ICASSP, 2011)

Syllable: A self-contained unit to model pronunciation variation. - Raymond W. M. Ng; Keikichi Hirose (ICASSP, 2012)

An alignment matching method to explore pseudosyllable properties across different corpora. - Raymond W. M. Ng; Thomas Hain; Keikichi Hirose (INTERSPEECH, 2012)

Adaptation of lecture speech recognition system with machine translation output. - Raymond W. M. Ng; Thomas Hain; Trevor Cohn (ICASSP, 2013)

Spoken Language Recognition With Prosodic Features. - Raymond W. M. Ng; Tan Lee 001; Cheung-Chi Leung; Bin Ma 001; Haizhou Li 001 (IEEE Trans. Speech Audio Process., 2013)

The USFD SLT system for IWSLT 2014. - Raymond W. M. Ng; Mortaza Doulaty; Rama Doddipatla; Wilker Aziz; Kashif Shah; Oscar Saz; Madina Hasan; Ghada AlHaribi; Lucia Specia; Thomas Hain (IWSLT (Evaluation Campaign), 2014)

Latent Dirichlet Allocation based organisation of broadcast media archives for deep neural network adaptation. - Mortaza Doulaty; Oscar Saz; Raymond W. M. Ng; Thomas Hain (ASRU, 2015)

The 2015 sheffield system for longitudinal diarisation of broadcast media. - Rosanna Milner; Oscar Saz; Salil Deena; Mortaza Doulaty; Raymond W. M. Ng; Thomas Hain (ASRU, 2015)

The 2015 sheffield system for transcription of Multi-Genre Broadcast media. - Oscar Saz; Mortaza Doulaty; Salil Deena; Rosanna Milner; Raymond W. M. Ng; Madina Hasan; Yulan Liu; Thomas Hain (ASRU, 2015)

Investigating Continuous Space Language Models for Machine Translation Quality Estimation. - Kashif Shah; Raymond W. M. Ng; Fethi Bougares; Lucia Specia (EMNLP, 2015)

Quality estimation for asr k-best list rescoring in spoken language translation. - Raymond W. M. Ng; Kashif Shah; Wilker Aziz; Lucia Specia; Thomas Hain (ICASSP, 2015)

A study on the stability and effectiveness of features in quality estimation for spoken language translation. - Raymond W. M. Ng; Kashif Shah; Lucia Specia; Thomas Hain (INTERSPEECH, 2015)

Annotating meta-discourse in academic lectures from different disciplines. - Ghada AlHarbi; Raymond W. M. Ng; Thomas Hain (SLaTE, 2015)

The USFD Spoken Language Translation System for IWSLT 2014. - Raymond W. M. Ng; Mortaza Doulaty; Rama Doddipatla; Wilker Aziz; Kashif Shah; Oscar Saz; Madina Hasan; Ghada AlHarbi; Lucia Specia; Thomas Hain (CoRR, 2015)

Groupwise learning for ASR k-best list reranking in spoken language translation. - Raymond W. M. Ng; Kashif Shah; Lucia Specia; Thomas Hain (ICASSP, 2016)

Automatic Genre and Show Identification of Broadcast Media. - Mortaza Doulaty; Oscar Saz; Raymond W. M. Ng; Thomas Hain (INTERSPEECH, 2016)

webASR 2 - Improved Cloud Based Speech Technology. - Thomas Hain; Jeremy Christian; Oscar Saz; Salil Deena; Madina Hasan; Raymond W. M. Ng; Rosanna Milner; Mortaza Doulaty; Yulan Liu (INTERSPEECH, 2016)

Combining Weak Tokenisers for Phonotactic Language Recognition in a Resource-Constrained Setting. - Raymond W. M. Ng; Bhusan Chettri; Thomas Hain (INTERSPEECH, 2016)

The Sheffield language recognition system in NIST LRE 2015. - Raymond W. M. Ng; Mauro Nicolao; Oscar Saz; Madina Hasan; Bhusan Chettri; Mortaza Doulaty; Tan Lee 001; Thomas Hain (Odyssey, 2016)

Exploring the use of acoustic embeddings in neural machine translation. - Salil Deena; Raymond W. M. Ng; Pranava Swaroop Madhyastha; Lucia Specia; Thomas Hain (ASRU, 2017)

Shefce: A Cantonese-English bilingual speech corpus for pronunciation assessment. - Raymond W. M. Ng; Alvin C. M. Kwan; Tan Lee 001; Thomas Hain (ICASSP, 2017)

Semi-Supervised Adaptation of RNNLMs by Fine-Tuning with Domain-Specific Auxiliary Features. - Salil Deena; Raymond W. M. Ng; Pranava Swaroop Madhyastha; Lucia Specia; Thomas Hain (INTERSPEECH, 2017)

Analysing acoustic model changes for active learning in automatic speech recognition. - Chenhao Wu; Raymond W. M. Ng; Oscar Saz-Torralba; Thomas Hain (IWSSIP, 2017)

Unsupervised crosslingual adaptation of tokenisers for spoken language recognition. - Raymond W. M. Ng; Mauro Nicolao; Thomas Hain (Comput. Speech Lang., 2017)

Multi-Modal Sequence Fusion via Recursive Attention for Emotion Recognition. - Rory Beard; Ritwik Das; Raymond W. M. Ng; P. G. Keerthana Gopalakrishnan; Luka Eerens; Pawel Swietojanski; Ondrej Miksik (CoNLL, 2018)

Teacher-Student Training for Text-Independent Speaker Recognition. - Raymond W. M. Ng; Xuechen Liu; Pawel Swietojanski (SLT, 2018)

Lightly supervised alignment of subtitles on multi-genre broadcasts. - Oscar Saz; Salil Deena; Mortaza Doulaty; Madina Hasan; Bilal Khaliq; Rosanna Milner; Raymond W. M. Ng; Julia Olcoz; Thomas Hain (Multim. Tools Appl., 2018)

A Cross-Corpus Study on Speech Emotion Recognition. - Rosanna Milner; Md Asif Jalal; Raymond W. M. Ng; Thomas Hain (ASRU, 2019)

Teacher-student Training for Acoustic Event Detection Using Audioset. - Ruibo Shi; Raymond W. M. Ng; Pawel Swietojanski (ICASSP, 2019)

Building Proactive Voice Assistants: When and How (not) to Interact. - Ondrej Miksik; I. Munasinghe; J. Asensio-Cubero; S. Reddy Bethi; S.-T. Huang; S. Zylfo; Xuechen Liu; T. Nica; A. Mitrocsak; S. Mezza; Rory Beard; Ruibo Shi; et al. (CoRR, 2020)