baicai1145

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。 - 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 - 模型名称: G2PWModelzh-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 - baicai-1145/g2pW - 原始 G2PW 项目 - baicai-1145/g2pw-torch - PyTorch 推理版本（推荐使用） This is a retrained version of the G2PW (Grapheme-to-Phoneme for Word) model, specifically optimized for Simplified Chinese. - 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 Name: G2PWModelzh-Hans - Training Data: Simplified Chinese corpus - Optimization Goal: Improve accuracy of Simplified Chinese grapheme-to-phoneme conversion - Data Collection and Organization: @TheSmallHanCat - Model Training: @baicai1145 - baicai-1145/g2pW - Original G2PW project - baicai-1145/g2pw-torch - PyTorch inference version (recommended) This project follows the same license as the original project.