Yui Sudo

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

2024

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 present in the training data, E2E-ASR methods do not perform as desired …

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

2024 · arXiv (Cornell University)

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 final loss objective. However, these approaches ignore the useful contextual …

OWSM v4: Improving Open Whisper-Style Speech Models via Data Scaling and Cleaning

2025 · arXiv (Cornell University)

The Open Whisper-style Speech Models (OWSM) project has developed a series of fully open speech foundation models using academic-scale resources, but their training data remains insufficient. This work enhances OWSM by integrating YODAS, a large-scale …