Showing 2026Show all
3 papers · 1 filter
cs.CL2026
BaLEEN: Biasing with Latent Encoded Entities for Context-Aware ASR
Chihiro Taguchi, Yotaro Kubo, Rujikorn Charakorn
Transcribing domain-specific entities and rare proper nouns remains a major challenge in automatic speech recognition (ASR). In this paper, we propose BaLEEN (Biasing with Latent E…
cs.CL2026
Pretrained self-supervised speech models can recognize unseen consonants
Chihiro Taguchi, Éric Le Ferrand, Hirosi Nakagawa +4
Modern pretrained self-supervised automatic speech recognition models are trained on large-scale audio data to encode speech into contextualized representations. However, their tra…
cs.CL2026
Automatic Speech Recognition for Documenting Endangered Languages: Case Study of Ikema Miyakoan
Chihiro Taguchi, Yukinori Takubo, David Chiang
Language endangerment poses a major challenge to linguistic diversity worldwide, and technological advances have opened new avenues for documentation and revitalization. Among thes…