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baicai1145/
G2PWModel_zh-Hans

Name: G2PWModel_zh-Hans
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G2PWModel_zh-Hans

中文 | English

中文

简介

这是 G2PW (Grapheme-to-Phoneme for Word) 模型的重新训练版本，专门针对简体中文进行了优化。

主要优化

纯简体中文数据集：此版本仅使用简体中文数据进行训练，提供更准确的简体中文发音预测
更快的推理速度：推荐使用 @baicai-1145/g2pw-torch 进行推理，速度比原版 ONNX 实现更快

模型信息

模型名称: G2PWModel_zh-Hans
训练数据: 简体中文语料
优化目标: 提高简体中文字音转换准确率

使用方法

推荐使用 g2pw-torch 进行推理：

pip install g2pw-torch

python

from g2pw import G2PWConverter

converter = G2PWConverter(model_dir='baicai1145/G2PWModel_zh-Hans')
result = converter('我今天很开心')
print(result)

致谢

数据收集与整理: @TheSmallHanCat
模型训练: @baicai1145

许可证

本项目遵循原项目的许可证协议。

English

Introduction

This is a retrained version of the G2PW (Grapheme-to-Phoneme for Word) model, specifically optimized for Simplified Chinese.

Key Improvements

Simplified Chinese Only Dataset: This version is trained exclusively on Simplified Chinese data, providing more accurate pronunciation predictions for Simplified Chinese
Faster Inference Speed: We recommend using @baicai-1145/g2pw-torch for inference, which is faster than the original ONNX implementation

Model Information

Model Name: G2PWModel_zh-Hans
Training Data: Simplified Chinese corpus
Optimization Goal: Improve accuracy of Simplified Chinese grapheme-to-phoneme conversion

Usage

We recommend using g2pw-torch for inference: