Scaling phoneme-based TTS augmentation for ASR: A unified pipeline and controlled study
A unified phoneme-based TTS-to-ASR augmentation pipeline built around a multilingual TTS model trained from scratch using the F5-TTS architecture with language-ID conditioning is presented and phoneme-frequency-guided selection (PFGS) is proposed, which ranks candidate sentences using phoneme frequencies estimated from real ASR training labels.