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

5 citations · 5 across the 3 of their papers we have counts for

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eess.AS2024★ 5 cited

Contextualized End-to-end Automatic Speech Recognition with Intermediate Biasing Loss

Muhammad Shakeel, Yui Sudo, Yifan Peng +1

Contextualized end-to-end automatic speech recognition has been an active research area, with recent efforts focusing on the implicit learning of contextual phrases based on the fi…

eess.AS2024

Contextualized Automatic Speech Recognition with Attention-Based Bias Phrase Boosted Beam Search

Yui Sudo, Muhammad Shakeel, Yosuke Fukumoto +2

End-to-end (E2E) automatic speech recognition (ASR) methods exhibit remarkable performance. However, since the performance of such methods is intrinsically linked to the context pr…