Syllable-based rhythm and voice conversion of dysarthric speech, trained without labels, improves LF-MMI ASR word error rates on Torgo, especially for severe speakers, but not for fine-tuned Whisper.
Pathological Speech Synthesis (PaSS)
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
-
Unsupervised Rhythm and Voice Conversion to Improve ASR on Dysarthric Speech
Syllable-based rhythm and voice conversion of dysarthric speech, trained without labels, improves LF-MMI ASR word error rates on Torgo, especially for severe speakers, but not for fine-tuned Whisper.