CC-G2PnP: Japanese Grapheme-to-Phoneme and Prosody Model

Conformer-CTC ベースの日本語 G2PnP (Grapheme-to-Phoneme and Prosody) モデル。

Model Details

  • Architecture: Conformer Encoder + CTC Head (84M params)
  • Training: 300k steps, T4×4 DDP, SDPA enabled
  • Checkpoint: step_00300000.pt (25% of full 1.2M steps training)

Usage

import torch

checkpoint = torch.load("step_00300000.pt", map_location="cpu")

Repository

https://github.com/ayousanz/cc-g2pnp

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