PMF-CEC combines text and phoneme embeddings with a confidence-based edit filter, improving rare-word and homophone correction in ASR outputs across five benchmarks.
Improving neural biasing for contextual speech recognition by early context injection and text perturbation,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.AS 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
PMF-CEC: Phoneme-augmented Multimodal Fusion for Context-aware ASR Error Correction with Error-specific Selective Decoding
PMF-CEC combines text and phoneme embeddings with a confidence-based edit filter, improving rare-word and homophone correction in ASR outputs across five benchmarks.