An end to end ASR Transformer model training repo

Overview

END TO END ASR TRANSFORMER

  • 本项目基于transformer 6*encoder+6*decoder的基本结构构造的端到端的语音识别系统

Model

Instructions

  • 1.数据准备:
    • 自行下载数据,遵循文件结构如下:
├── data
│   ├── train
│   ├── dev
│   ├── test
  • 2.数据预处理:
    • 运行prepare_data.py对数据进行预处理, 获得整个词表,每个样本音频的mel-scale-spectrogram,文本的token-ids
  • 3.模型训练:
    • 运行train_transformer.py --ngpus 8进行transformer网络的训练. 该网络输入mel-scale-spectrogram, 输出token-ids
  • 4.模型推理:
    • 运行evlauate.py在dev/test上测试准确率

Acknowledgements

Reference

Owner
旷视天元 MegEngine
旷视天元 MegEngine
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