A collaborative methodology for the rapid development and delivery of online courses. - Douglas Talbott; Matthew Gibson; Suzanne Skublics (SIGDOC, 2002)

Beyond the Web: TEI, the Digital Library, and the Ebook Revolution. - Matthew Gibson; Christine Ruotolo (Comput. Humanit., 2003)

Hypothesis spaces for minimum Bayes risk training in large vocabulary speech recognition. - Matthew Gibson; Thomas Hain (INTERSPEECH, 2006)

Temporal masking for unsupervised minimum Bayes risk speaker adaptation. - Matthew Gibson; Thomas Hain (INTERSPEECH, 2007)

Minimum Bayes risk acoustic model estimation and adaptation. - Matthew Gibson (2008)

Analysis of Unsupervised and Noise-Robust Speaker-Adaptive HMM-Based Speech Synthesis Systems toward a Unified ASR and TTS Framework. - Junichi Yamagishi; Mike Lincoln; Simon King 001; John Dines; Matthew Gibson; Jilei Tian; Yong Guan (Blizzard Challenge, 2009)

Two-pass decision tree construction for unsupervised adaptation of HMM-based synthesis models. - Matthew Gibson (INTERSPEECH, 2009)

Personalising Speech-To-Speech Translation in the EMIME Project. - Mikko Kurimo; William Byrne; John Dines; Philip N. Garner; Matthew Gibson; Yong Guan; Teemu Hirsimäki; Reima Karhila; Simon King 001; Hui Liang; Keiichiro Oura; Lakshmi Babu Saheer; et al. (ACL (System Demonstrations), 2010)

Unsupervised cross-lingual speaker adaptation for HMM-based speech synthesis using two-pass decision tree construction. - Matthew Gibson; Teemu Hirsimäki; Reima Karhila; Mikko Kurimo; William Byrne (ICASSP, 2010)

Speaker adaptation and the evaluation of speaker similarity in the EMIME speech-to-speech translation project. - Mirjam Wester; John Dines; Matthew Gibson; Hui Liang; Yi-Jian Wu; Lakshmi Babu Saheer; Simon King 001; Keiichiro Oura; Philip N. Garner; William Byrne; Yong Guan; Teemu Hirsimäki; et al. (SSW, 2010)

Unsupervised Intralingual and Cross-Lingual Speaker Adaptation for HMM-Based Speech Synthesis Using Two-Pass Decision Tree Construction. - Matthew Gibson; William Byrne (IEEE ACM Trans. Audio Speech Lang. Process., 2011)

Application of SVM-based correctness predictions to unsupervised discriminative speaker adaptation. - Matthew Gibson; Thomas Hain (ICASSP, 2012)

Correctness-Adjusted Unsupervised Discriminative Acoustic Model Adaptation. - Matthew Gibson; Thomas Hain (IEEE Trans. Speech Audio Process., 2012)

Personalising speech-to-speech translation: Unsupervised cross-lingual speaker adaptation for HMM-based speech synthesis. - John Dines; Hui Liang; Lakshmi Babu Saheer; Matthew Gibson; William Byrne; Keiichiro Oura; Keiichi Tokuda; Junichi Yamagishi; Simon King 001; Mirjam Wester; Teemu Hirsimäki; Reima Karhila; et al. (Comput. Speech Lang., 2013)

The Simple4All entry to the Blizzard Challenge 2014. - Antti Suni; Tuomo Raitio; Dhananjaya Gowda; Reima Karhila; Matthew Gibson; Oliver Watts (Blizzard Challenge, 2014)

Optimizing and parallelizing the modular GCD algorithm. - Matthew Gibson; Michael B. Monagan (PASCO, 2015)

A Culturally Relevant Pedagogical Approach to Computer Science Education to Increase Participation of Underrepresented Populations. - Timothy T. Yuen; María G. Arreguín-Anderson; Guadalupe Carmona; Matthew Gibson (LaTiCE, 2016)

Semi-supervised training strategies for deep neural networks. - Matthew Gibson; Gary Cook; Puming Zhan (ASRU, 2017)

Comparing Mechanisms of Food Choice in an Agent-Based Model of Milk Consumption and Substitution in the UK. - Matthew Gibson; Raphael Slade; Joana Portugal Pereira; Joeri Rogelj (J. Artif. Soc. Soc. Simul., 2021)

Agent-Based Modelling of Future Dairy and Plant-Based Milk Consumption for UK Climate Targets. - Matthew Gibson; Joana Portugal Pereira; Raphael Slade; Joeri Rogelj (J. Artif. Soc. Soc. Simul., 2022)

A Personalised Speech Communication Application for Dysarthric Speakers. - Matthew Gibson; Ievgen Karaulov; Oleksii Zhelo; Filip Jurcícek (INTERSPEECH, 2023)

A Simplified Hindmarsh-Rose Model Based on Power-Flow Analysis. - Sebastian Jenderny; Karlheinz Ochs; Matthew Gibson; Philipp Hövel (NEWCAS, 2023)