ATPC automatically builds a pronunciation-distance matrix for Chinese characters from speech embeddings and uses it to improve contextual biasing in Mandarin end-to-end ASR, without a lexicon.
Measuring the gap between hmm- based asr and tts,
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
-
Automatic Text Pronunciation Correlation Generation and Application for Contextual Biasing
ATPC automatically builds a pronunciation-distance matrix for Chinese characters from speech embeddings and uses it to improve contextual biasing in Mandarin end-to-end ASR, without a lexicon.