TASU2 adds controllability over uncertainty and error rate to text-derived CTC simulation, enabling better cross-modal alignment and low-resource adaptation for speech LLMs than prior text-only or TTS methods.
Asr data augmentation in low-resource settings using cross-lingual multi-speaker tts and cross-lingual voice conversion
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Empirical study measuring ASR performance gains from synthetic speech augmentation in three Indic languages, varying script sources, synthesis models, and cloned voice counts.
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TASU2: Controllable CTC Simulation for Alignment and Low-Resource Adaptation of Speech LLMs
TASU2 adds controllability over uncertainty and error rate to text-derived CTC simulation, enabling better cross-modal alignment and low-resource adaptation for speech LLMs than prior text-only or TTS methods.
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An Analysis of the Effectiveness of Synthetic Speech Data for ASR Fine-tuning in Selected Indic Languages
Empirical study measuring ASR performance gains from synthetic speech augmentation in three Indic languages, varying script sources, synthesis models, and cloned voice counts.