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20212026
most citedContextualized End-to-end Automatic Speech Recognition with Intermediate Biasing Loss

5 citations · 12 across the 14 of their papers we have counts for

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eess.AS2025★ 1 cited

Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder

Muhammad Shakeel, Yui Sudo, Yifan Peng +2

This paper presents a unified multi-speaker encoder (UME), a novel architecture that jointly learns representations for speaker diarization (SD), speech separation (SS), and multi-…

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…