A Mamba-based state-space ASR model and four fine-tuned self-supervised models achieve claimed state-of-the-art word error rates on whispered and normal speech across three English dialects, including near-perfect results on wTIMIT and CHAINS.
Gammatonegram representation for end-to-end dysarthric speech processing tasks: Speech recogni- tion, speaker identification, and intelligibility assessment,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
eess.AS 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
State-Space Models in Efficient Whispered and Multi-dialect Speech Recognition
A Mamba-based state-space ASR model and four fine-tuned self-supervised models achieve claimed state-of-the-art word error rates on whispered and normal speech across three English dialects, including near-perfect results on wTIMIT and CHAINS.