Peter Bell
Peter Bell has 4 papers in our library, in 2015–2024, most of them on Semitic languages, Speech & spoken language, English; often with Ahmed M. Abdelatty Ali, James Glass, Steve Renals.
OpenAlex · ORCID · Wikidata · h-index 24 · 151 works · 2,553 citations OpenAlex, 2026-10-14
📄 4 works in our library · 🔗 Cited 393 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #2177
Affiliations
Fields, topics and concepts
📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Computer Science · 4 worksArtificial Intelligence · 4 worksArts and Humanities · 3 worksComputer Vision and Pattern Recognition · 1 workHardware and Architecture · 1 workLanguage and Linguistics · 3 worksSignal Processing · 3 works
🧭 Topics 3Research subjects and languages the work is about.Semitic languages · 2 worksEnglish · 1 workSpeech & spoken language · 1 work
💡 Concepts 1Key ideas and methods explained on our concept pages.Machine learning · 1 work
Works by year
2020s
2010s
Papers
- PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation (2024 · 946 citations)
Eager-mode frameworks such as PyTorch are popular because models are plain Python code that can be debugged and mixed freely with other libraries. - The MGB-2 Challenge: Arabic Multi-Dialect Broadcast Media Recognition (2016 · 154 citations)
MGB-2 is a shared evaluation for automatic recognition of Arabic broadcast speech, held for SLT-2016. The earlier English MGB focused on variety across TV genres; this edition focuses on variety across Arabic dialects. The organisers collected about 1,200 hours of Aljazeera TV recordings from 2005–2015, drawn from 19… - Automatic Dialect Detection in Arabic Broadcast Speech (2015 · 59 citations)
The paper tackles automatic identification of Arabic dialects from broadcast speech. It treats this as a harder variant of language identification, since the varieties belong to one language yet differ in lexicon and sound. The authors compare three utterance representations: - The Edinburgh International Accents of English Corpus: Towards the Democratization of English ASR (2023 · 36 citations)
English ASR systems post very low error rates on standard benchmarks, but those test sets mostly contain US or UK speakers, often reading text aloud or talking over narrowband phones.
All works
- PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph CompilationASPLOS 2024Jason Ansel, Edward Yang, Horace He, et al.2024 · 946 citations
- The MGB-2 Challenge: Arabic Multi-Dialect Broadcast Media RecognitionIEEE Spoken Language Technology Workshop (SLT)Ahmed Ali, Peter Bell, James Glass, et al.2016 · 154 citations
- Automatic Dialect Detection in Arabic Broadcast SpeechInterspeechAhmed Ali, Najim Dehak, Patrick Cardinal, et al.2015 · 59 citations
- The Edinburgh International Accents of English Corpus: Towards the Democratization of English ASRIEEE International Conference on Acoustics Speech and Signal ProcessingRamon Sanabria, Nikolay Bogoychev, Nina Markl, et al.2023 · 36 citations
- Description of the UEDIN system for German ASR ↗Proceedings of the 10th International Workshop on Spoken Language Translation: Evaluation Campaign · no summary yetJoris Driesen et al.2013 · 9 citations
- Learning Speech Representations with Variational Predictive Coding ↗Transactions of the Association for Computational Linguistics · no summary yetSung-Lin Yeh, Peter Bell, Hao Tang2026
Co-authors here
- Ahmed M. Abdelatty Ali ×2
- James Glass ×2
- Steve Renals ×2
- Evgeni Burovski
- Hamdy Mubarak
- Horace He
- Najim Dehak
- Natalia Gimelshein
- Nikolay Bogoychev
- Patrick Cardinal
- Sameer Khurana
- Yifan Zhang
Venues
- IEEE International Conference on Acoustics Speech and Signal Processing: IEEE International Conference on Acoustics Speech and Signal Processing 2023
- IEEE Spoken Language Technology Workshop (SLT): SLT 2016
- Interspeech: Interspeech 2015
- ASPLOS 2024
- Proceedings of the 10th International Workshop on Spoken Language Translation: Evaluation Campaign
- Transactions of the Association for Computational Linguistics
Cited by
Updated
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