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cs.CL2022
Pronunciation-aware unique character encoding for RNN Transducer-based Mandarin speech recognition
Peng Shen, Xugang Lu, Hisashi Kawai
For Mandarin end-to-end (E2E) automatic speech recognition (ASR) tasks, compared to character-based modeling units, pronunciation-based modeling units could improve the sharing of…
cs.CL2022
Transducer-based language embedding for spoken language identification
Peng Shen, Xugang Lu, Hisashi Kawai
The acoustic and linguistic features are important cues for the spoken language identification (LID) task. Recent advanced LID systems mainly use acoustic features that lack the us…