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Muhammad Shakeel

Honda Research Institute Japan Co., Ltd.

4 papers hereh-index 10440 citations26 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • eess.AS3
  • cs.CL1
affiliations
  • Honda Research Institute Japan Co., Ltd.
ORCID 0000-0003-3822-0917

identity via Semantic Scholar / OpenAlex

most citedUnifying Diarization, Separation, and ASR with Multi-Speaker Encoder

1 citations · 1 across the 2 of their papers we have counts for

collaborators
Showing cs.CLShow all

3 papers · 1 filter

cs.CL2025

DYNAC: Dynamic Vocabulary based Non-Autoregressive Contextualization for Speech Recognition

Yui Sudo, Yosuke Fukumoto, Muhammad Shakeel +3

Contextual biasing (CB) improves automatic speech recognition for rare and unseen phrases. Recent studies have introduced dynamic vocabulary, which represents context phrases as ex…

cs.CL2024

OWSM-CTC: An Open Encoder-Only Speech Foundation Model for Speech Recognition, Translation, and Language Identification

Yifan Peng, Yui Sudo, Muhammad Shakeel +1

There has been an increasing interest in large speech models that can perform multiple tasks in a single model. Such models usually adopt an encoder-decoder or decoder-only archite…

cs.CL2024

OWSM v3.1: Better and Faster Open Whisper-Style Speech Models based on E-Branchformer

Yifan Peng, Jinchuan Tian, William Chen +9

Recent studies have highlighted the importance of fully open foundation models. The Open Whisper-style Speech Model (OWSM) is an initial step towards reproducing OpenAI Whisper usi…

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