DurFormer, an adaptive duration prediction model with speed, scene, and semantic conditioning, improves phoneme-level duration accuracy and lowers word error rate in Mandarin text-to-speech.
A typical TTS system includes an encoder, a decoder, and an alignment mechanism linking linguistic and acoustic representations [3–6]
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Adaptive Duration Model for Text Speech Alignment
DurFormer, an adaptive duration prediction model with speed, scene, and semantic conditioning, improves phoneme-level duration accuracy and lowers word error rate in Mandarin text-to-speech.