yl4579/PL-BERT
Phoneme-Level BERT for Enhanced Prosody of Text-to-Speech with Grapheme Predictions
Implements a phoneme-level ALBERT encoder trained with dual pretext tasks—masked phoneme prediction and grapheme-to-phoneme correspondence—enabling efficient prosodic feature extraction for downstream TTS models. The architecture operates on phoneme sequences rather than word-level inputs, eliminating inefficiencies when integrated into phoneme-based synthesis pipelines like StyleTTS. Pre-trained checkpoints target English Wikipedia data and plug directly into existing TTS frameworks via a linear projection layer that bridges hidden dimension mismatches.
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Python
License
MIT
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Last pushed
Jan 13, 2025
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