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National Taiwan University
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Taiwanese Mandarin TTS systems can achieve a 63.9% reduction in word error rates by using a context-adapted tokenizer and language model.
LatentASR transforms frozen ASR models into adaptive systems that intelligently allocate compute resources, achieving significant WER reductions on challenging inputs without the need for extensive retraining.
