Research output per year
Research output per year
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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Fusing ASR Outputs in Joint Training for Speech Emotion Recognition
Li, Y., Bell, P. & Lai, C., 27 Apr 2022, Proceedings of 2022 IEEE International Conference on Acoustics, Speech and Signal Processing. Institute of Electrical and Electronics Engineers (IEEE), p. 7362-7366 5 p. (International Conference on Acoustics, Speech, and Signal Processing (ICASSP)).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile -
Investigating Sequence-Level Normalisation for CTC-Like End-To-End ASR
Zhao, Z. & Bell, P., 27 Apr 2022, Proceedings of 2022 IEEE International Conference on Acoustics, Speech and Signal Processing. Institute of Electrical and Electronics Engineers (IEEE), p. 7792-7796 5 p. (International Conference on Acoustics, Speech, and Signal Processing (ICASSP)).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile -
It's not what you said, it's how you said it: discriminative perception of speech as a multichannel communication system
Wallbridge, S., Bell, P. & Lai, C., 30 Aug 2021, Interspeech 2021. International Speech Communication Association, p. 2386-2390 5 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile -
Leveraging Speaker Attribute Information Using Multi Task Learning for Speaker Verification and Diarization
Luu, C., Bell, P. & Renals, S., 30 Aug 2021, Proceedings of Interspeech 2021. International Speech Communication Association, p. 491-495 5 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile -
On the Learning Dynamics of Semi-Supervised Training for ASR
Wallington, E., Kershenbaum, B., Bell, P. & Klejch, O., 30 Aug 2021, Proceedings of Interspeech 2021. International Speech Communication Association, p. 716-720 5 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile
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COG-MHEAR: Towards cognitively-inspired 5G-IoT enabled, multi-modal Hearing Aids
1/03/21 → 28/02/25
Project: Research
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Unmute : Opening Spoken Language Interaction to the Currently Unheard
Bell, P., Goldwater, S. & Renals, S.
1/12/20 → 30/11/23
Project: Research
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Consolidated Studentships - Bell 2020
Non-EU industry, commerce and public corporations
1/09/20 → 28/02/25
Project: Research
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CAPS-AI: Constructing the Agenda: Public Service AI in News and Media Production
Jones, B., Luger, E. & Bell, P.
1/11/21 → 31/01/22
Project: University Awarded Project Funding
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Adapting End to End Speech Recognition System (Year 2)
Non-EU industry, commerce and public corporations
26/12/19 → 31/01/22
Project: Research