Naozumi0512/g2pW-canto-20241206-bert-base

By Naozumi0512 · ↓ 0 · ♥ 1 · Updated 2025-01-27

What's in this repo

This page lists the files in Naozumi0512/g2pW-canto-20241206-bert-base, including g2pw.onnx.

1 ONNX models (.onnx files)
6 files, including 2 .txt, 1 .md, 1 .py, 1 .onnx
Last updated 2025-01-27

ONNX files

File	Size	Download
g2pw.onnx	—	Download

How to use

These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.

README

g2pW-canto-20241206-bert-base

This is a G2P (Grapheme-to-Phoneme) model trained on the Naozumi0512/g2p-Cantonese-aggregate-pos-retag dataset and evaluated on the yue-g2p-benchmark.

Model Overview

The model uses hon9kon9ize/bert-base-cantonese. For more details see https://github.com/Naozumi520/g2pW-Cantonese .

Dataset

The model was trained on the Naozumi0512/g2p-Cantonese-aggregate-pos-retag dataset, which includes:

68,500 Cantonese words/phrases with corresponding phonetic transcriptions.
Data is formatted to align with the CPP (Chinese Polyphones with Pinyin) structure.
Sources include:
- Rime Cantonese Input Schema (jyut6ping3.words.dict.yaml)
- 粵典 Words.hk
- CantoDict

Evaluation

The model was evaluated on the yue-g2p-benchmark:

Metric	Score
Accuracy	0.9117
Phoneme Error Rate	0.0274

Inference

https://github.com/Naozumi520/g2pW-Cantonese/tree/20241206-bert-base

Model info

onnx g2p yue dataset:Naozumi0512/g2p-Cantonese-aggregate-pos-retag license:cc-by-4.0 region:us

↓ 0 ♥ 1

Created: 2024-12-06

Updated: 2025-01-27

View on Hugging Face

Files (6)

.gitattributes

MONOPHONIC_CHARS.txt

POLYPHONIC_CHARS.txt

README.md

config.py

g2pw.onnx ONNX

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