Peter Bell

Reader in Speech Technology, School of Informatics
Institute of Language, Cognition and Computation
Centre for Speech Technology Research
Language, Interaction and Robotics

https://orcid.org/0000-0002-9597-9615

Phone+44 (0) 131 651 3284
Emailpeter.bell@ed.ac.uk
Websitehttp://homepages.inf.ed.ac.uk/pbell1/

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Personal profile

Research Interests

My primary research focus is on automatic speech recognition (ASR). I am particularly interested the following topics:

methods for cross-domain and cross-lingual adaptation
regularisation methods, particularly multi-task learning
algorithms for efficient alignment and search of audio data
lightly supervised and semi-supervised training
end-to-end and raw-waveform methods
ASR systems for minority or under-resourced languages
speech recognition and alignment of broadcast media

Qualifications

2010, PhD in Automatic Speech Recognition, University of Edinburgh.

2005, MPhil, Computer Speech, Text and Internet Technology, University of Cambridge.

2002, BA, Mathematics, University of Cambridge.

Biography

Peter Bell is a Reader in Speech Technology in the Centre for Speech Technology Research (CSTR) in the School of Informatics. His research covers many different aspects of acoustic modelling for speech recognition. After receiving MA and MPhil degrees from Cambridge University, he obtained his PhD from Edinburgh in 2010, supervised by Prof Simon King. Since graduating, he has continued his research at CSTR, working primarily with Prof Steve Renals on several large projects funded by EPSRC, H2020 and others. He is currently Co-Investigator on the IARPA-funded MATERIAL programme and the EPSRC-funded SpeechWave project. From 2012-2019, Peter divided his time between the academic and commerical worlds as part-time speech scientist at Quorate Technology Ltd. He carries out consultancy for a number of other companies.

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71 Conference contribution
3 Article

Adaptation Algorithms for Neural Network-Based Speech Recognition: An Overview
Bell, P., Fainberg, J., Klejch, O., Li, J., Renals, S. & Swietojanski, P., 2021, In: IEEE Open Journal of Signal Processing. 2, p. 33-66 34 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File
Segmenting Subtitles for Correcting ASR Segmentation Errors
Wan, D., Kedzie, C., Ladhak, F., Turcan, E., Galuščáková, P., Zotkina, E., Jiang, Z., Bell, P. & McKeown, K., 11 Jan 2021, (Accepted/In press) Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics 2021. Association for Computational Linguistics, 13 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Speech Acoustic Modelling From Raw Phase Spectrum
Loweimi, E., Cvetkovic, Z., Bell, P. & Renals, S., 30 Jan 2021, (Accepted/In press) 2021 IEEE International Conference on Acoustics, Speech and Signal Processing. Institute of Electrical and Electronics Engineers (IEEE), 5 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Train your classifier first: Cascade Neural Networks Training from upper layers to lower layers
Zhang, S., Do, C-T., Doddipatla, R., Loweimi, E., Bell, P. & Renals, S., 30 Jan 2021, (Accepted/In press) 2021 IEEE International Conference on Acoustics, Speech and Signal Processing. Institute of Electrical and Electronics Engineers (IEEE), 5 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Acoustic model adaptation from raw waveforms with Sincnet
Fainberg, J., Klejch, O., Loweimi, E., Bell, P. & Renals, S., 20 Feb 2020, 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU). Institute of Electrical and Electronics Engineers (IEEE), p. 897-904 8 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access
File

1 Finished
7 Active

COG-MHEAR: Towards cognitively-inspired 5G-IoT enabled, multi-modal Hearing Aids
Bell, P. & Renals, S.
EPSRC
1/03/21 → 28/02/25
Project: Research
Unmute : Opening Spoken Language Interaction to the Currently Unheard
Bell, P.
EPSRC
1/12/20 → 30/11/23
Project: Research
Consolidated Studentships - Bell 2020
Bell, P., Lai, C. & Tang, H.
Non-EU industry, commerce and public corporations
1/09/20 → 29/02/24
Project: Research
Adapting End to End Speech Recognition System (Year 2)
Renals, S. & Bell, P.
Non-EU industry, commerce and public corporations
26/12/19 → 31/01/22
Project: Research
Adapting end to end speech recognition systems
Renals, S. & Bell, P.
Non-EU industry, commerce and public corporations
1/02/19 → 31/01/22
Project: Research