Dr Mauro Nicolao
Department of Computer Science
Research Associate
Member of the Speech and Hearing (SpandH) research group
m.nicolao@sheffield.ac.uk
+44 114 222 1912
+44 114 222 1912
Regent Court (DCS)
Full contact details
Dr Mauro Nicolao
Department of Computer Science
Regent Court (DCS)
211 Portobello
Sheffield
S1 4DP
Department of Computer Science
Regent Court (DCS)
211 Portobello
Sheffield
S1 4DP
- Research interests
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- Speech technology
- Expressive and adaptive Text-To-Speech (TTS) synthesis
- Multilingual Automatic Speech Recognition (ASR)
- Computer-Assisted Language Learning (CALL)
- Computer-Aided Pronunciation Training (CAPT)
- Clinical applications for speech technology and speech recognition in adverse conditions
- Publications
-
Journal articles
- Toward a Needs-Based Architecture for `Intelligent' Communicative Agents: Speaking with Intention. Frontiers in Robotics and AI, 4. View this article in WRRO
- Unsupervised crosslingual adaptation of tokenisers for spoken language recognition. Computer Speech and Language, 46, 327-342. View this article in WRRO
Conference proceedings papers
- Improved acoustic modelling for automatic literacy assessment of children. Proceedings of Interspeech 2018 (pp 1666-1670), 2 September 2018 - 6 September 2018. View this article in WRRO
- Using phone features to improve dialogue state tracking
generalisation to unseen states. Proceedings of the 17th Annual Meeting of the Special Interest Group
on Discourse and Dialogue, September 2016 - September 2016. View this article in WRRO
- The Sheffield language recognition system in NIST LRE 2015. Proceedings of The Speaker and Language Recognition Workshop Odyssey 2016 View this article in WRRO
- View this article in WRRO
- Automatic assessment of English learner pronunciation using discriminative classifiers. 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 19 April 2015 - 24 April 2015. View this article in WRRO
- Speech-enabled environmental control in an AAL setting for people with speech disorders: a case study. IET International Conference on Technologies for Active and Assisted Living (TechAAL)
Datasets
- Toward a Needs-Based Architecture for `Intelligent' Communicative Agents: Speaking with Intention. Frontiers in Robotics and AI, 4. View this article in WRRO