Speech Recognition Model Based on PyTorch
This project demonstrates how to use the PaddlePaddle framework for voiceprint recognition, covering multiple steps from model training to application deployment. The following are some key points and improvement suggestions for this project: ### Summary of Key Points 1. **Data Preparation**: The `prepare_data.py` in the project is used to generate a dataset containing voiceprint features. 2. **Model Design**: ECAPA-TDNN was selected as the base model, and voiceprint recognition tasks were implemented through custom configurations. 3. **Training Process**: In the training...
Read MoreChinese Speaker Recognition Based on TensorFlow 2
This project well demonstrates how to use deep learning models for voiceprint recognition and voiceprint comparison. Below, I will optimize and improve the code and provide some suggestions to better implement these functions. ### 1. Project Structure First, ensure the project directory structure is clear and easy to understand, for example: ``` VoiceprintRecognition/ ├── data/ │ ├── train_data/ │ │ └── user_01.wav │ ├── test_ ``` (Note: The original input was cut off at "test_", so the translation includes the visible portion only.)
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