ASRT_SpeechRecognition — A Deep-Learning-Based Chinese Speech Recognition System

Overview

ASRT_SpeechRecognition is an open-source Chinese speech recognition system that leverages deep learning techniques. It stands out for its robust architecture, which includes deep convolutional neural networks, long short-term memory networks, attention mechanisms, and Connectionist Temporal Classification (CTC). The project is designed to handle audio inputs up to 16 seconds long and output the corresponding Chinese phonetic sequences.

Key Features

Integration of TensorFlow 2.5+ for model development.
Utilization of advanced neural network architectures like DCNN and CTC for accurate speech recognition.
Support for both HTTP and GRPC protocols for API services.
Extensive documentation and community support through QQ and WeChat groups.

Use Cases

Use case 1: Developers can use ASRT_SpeechRecognition to build applications that require Chinese speech-to-text capabilities, such as voice assistants or transcription services.
Use case 2: Enterprises can integrate this system into their customer service platforms to offer voice-based interactions in Chinese.
Use case 3: Researchers in the field of speech recognition can leverage this project for experimental purposes and further development.

Advantages

Advantage 1: The system is built on TensorFlow, a widely-used and supported framework, ensuring stability and community support.
Advantage 2: It offers a high degree of accuracy in speech recognition for the Chinese language, which is crucial for applications targeting Chinese-speaking users.
Advantage 3: The project is actively maintained with regular updates and a responsive community for support.

Limitations / Considerations

Limitation 1: The system requires a relatively high-performance GPU for training, which may not be accessible to all users.
Limitation 2: The project is specifically tailored for Chinese speech recognition, limiting its applicability to other languages without modifications.

Mozilla DeepSpeech: An open-source speech-to-text engine that supports multiple languages, including Chinese. It differs from ASRT_SpeechRecognition in its support for a broader range of languages.
Kaldi: A well-known open-source speech recognition toolkit that offers a wide range of features and is used in academic and industrial research. It differs in its focus on research and flexibility compared to the more application-oriented ASRT_SpeechRecognition.

Basic Information

GitHub: ASRT_SpeechRecognition
Stars: 8,244
License: Unknown
Last Commit: 2025-10-02

📊 Project Information

Project Name: ASRT_SpeechRecognition
GitHub URL: https://github.com/nl8590687/ASRT_SpeechRecognition
Programming Language: Python
⭐ Stars: 8,244
🍴 Forks: 1,910
📅 Created: 2017-03-06
🔄 Last Updated: 2025-10-02

🏷️ Project Topics

Topics: [, ", a, s, r, t, ", ,, , ", c, h, i, n, e, s, e, -, s, p, e, e, c, h, -, r, e, c, o, g, n, i, t, i, o, n, ", ,, , ", c, n, n, ", ,, , ", c, t, c, ", ,, , ", k, e, r, a, s, ", ,, , ", p, y, t, h, o, n, ", ,, , ", p, y, t, h, o, n, 3, ", ,, , ", s, p, e, e, c, h, -, r, e, c, o, g, n, i, t, i, o, n, ", ,, , ", s, p, e, e, c, h, -, t, o, -, t, e, x, t, ", ,, , ", t, e, n, s, o, r, f, l, o, w, ", ]