arXiv Computation and Language By Zhen Wang, TianRui Wu, RongQi Han, Hao Wu, Wei Liang, Wei Xu

Phoneme-guided TTS augmentation for ASR: A unified pipeline and multilingual evaluation

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The paper introduces a phoneme-guided text-to-speech (TTS) augmentation pipeline for automatic speech recognition (ASR) that links multilingual speech generation with candidate-text selection and reference-speech quality control. It proposes phoneme-frequency-guided selection (PFGS), which prioritizes candidate texts containing common phonetic content based on real ASR training transcripts. Experiments across four languages and 13 test sets show that random text selection improves recognition on 11 test sets, while PFGS further improves nine test sets with relative word error rate reductions up to 19.3%, and reference-speech filtering also contributes to performance gains.

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