A hierarchical transducer with self-distillation and a tuned blank penalty improves joint speech recognition and translation, matching offline attention models on conversational data.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
HENT-SRT: Hierarchical Efficient Neural Transducer with Self-Distillation for Joint Speech Recognition and Translation
A hierarchical transducer with self-distillation and a tuned blank penalty improves joint speech recognition and translation, matching offline attention models on conversational data.