Scholar
Muhammad Shakeel
Google Scholar ID: FmgluMoAAAAJ
Honda Research Institute Japan Co., Ltd.
Speech Processing
Speech Recognition
Artificial Intelligence
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Citations & Impact
All-time
Citations
449
H-index
10
i10-index
10
Publications
20
Co-authors
9
list available
Contact
Email
shakeel@outlook.it
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Publications
1 items
CALM: Joint Contextual Acoustic-Linguistic Modeling for Personalization of Multi-Speaker ASR
2026
Cited
0
Resume (English only)
Academic Achievements
ISCA Best Student Paper Award (INTERSPEECH 2025).
IEEE SLT Best Paper Award (2024).
Fully funded Ph.D. Research Fellowship from MEXT (2019).
Tohoku University Exchange Programme (2013).
Erasmus Mundus Scholarship (2011).
First-authored paper 'UME' accepted for publication.
Research Experience
Currently collaborating with Prof. Shinji Watanabe at Honda Research Institute Japan on end-to-end speech recognition.
Contributed to the Open Whisper-style Speech Model (OWSM) project with Carnegie Mellon University’s Language Technologies Institute.
Enhanced OWSM with E-Branchformer and developed non-autoregressive OWSM-CTC for improved speed and robustness.
Pioneered contextual ASR techniques including dynamic vocabularies, intermediate biasing losses, and bias phrase boosted (BPB) beam search.
Co-developed the unified 4D ASR model integrating CTC, Attention, RNN-T, and Mask-CTC decoders.
Worked on jointly optimizing streaming and non-streaming ASR and model compression techniques (e.g., joint distillation and pruning in DPHuBERT).
Co-authors
9 total
Shinji Watanabe
Carnegie Mellon University
Yifan Peng
NVIDIA
Kazuhiro Nakadai
Institute of Science Tokyo
Jiatong Shi (史嘉彤)
Carnegie Mellon University
Katsutoshi Itoyama
Tokyo Institute of Technology
Zhi Zhong
Sony
Satoshi Tadokoro
Tohoku University
Kazunori Ohno
Tohoku University
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