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https://github.com/sanikamal/audio-speech-recognition-atoz
https://github.com/sanikamal/audio-speech-recognition-atoz
Last synced: about 10 hours ago
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- Host: GitHub
- URL: https://github.com/sanikamal/audio-speech-recognition-atoz
- Owner: sanikamal
- License: mit
- Created: 2023-08-02T15:16:12.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-08-17T13:55:07.000Z (5 months ago)
- Last Synced: 2024-08-17T14:34:13.679Z (5 months ago)
- Language: Jupyter Notebook
- Size: 10.5 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Audio & Speech Recognition AtoZ 🎧
Welcome to the **Audio & Speech Recognition AtoZ** repository! This project is a comprehensive guide to mastering audio and speech recognition using cutting-edge techniques.
## Installation 🚀
Follow these steps to get started:
1. **Clone the Repository**:
```bash
git clone https://github.com/sanikamal/audio-speech-recognition-atoz.git
cd audio-speech-recognition-atoz
```
2. **Install Dependencies**:
```bash
pip install -r requirements.txt
```
3. **Launch Jupyter Notebook**:
```bash
jupyter notebook
```
## Table of Contents 📚
| **Title**| **Description**| **Library/Technology**| **Link**| **Article/Blog Link**|
|----------|--------------------|---------------------|----------------|-------------|
| Analysis of Audio File | Read an audio file using Librosa, visualize the audio (waveform, spectrogram), interchange the axis, and write to files. | `Librosa`, `soundfie`,`Matplotlib`| [Link](notebooks/analysis-audio-file.ipynb) |--|
| Digitization and Recording of Speech | Record speech, digitize it, and use the `recognize_google` function from the `speech_recognition` library to convert audio to text. | `SpeechRecognition` | [Link](notebooks/Digitization-Recording-Speech.ipynb) | --- |
## Contributing 🤝
Contributions are welcome! If you'd like to contribute, please fork the repository and create a pull request. For major changes, please open an issue to discuss what you would like to change.
## License 📜
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## Acknowledgements 🙏
A big thank you to all the developers and researchers whose tools and libraries were used. Special thanks to the open-source community for their valuable contributions.