{"id":15060339,"url":"https://github.com/kientech/speech-recognition-study","last_synced_at":"2025-03-15T05:15:11.740Z","repository":{"id":254784985,"uuid":"847534219","full_name":"kientech/Speech-Recognition-Study","owner":"kientech","description":"The study involves various aspects of speech recognition, including audio preprocessing, model training, and real-time speech-to-text conversion","archived":false,"fork":false,"pushed_at":"2024-08-26T03:45:49.000Z","size":26545,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-03-15T05:15:03.577Z","etag":null,"topics":["assembly-language","pyaudio","python","speech-recognition"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/kientech.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-08-26T03:42:42.000Z","updated_at":"2024-08-26T03:46:27.000Z","dependencies_parsed_at":"2024-08-26T05:07:30.504Z","dependency_job_id":null,"html_url":"https://github.com/kientech/Speech-Recognition-Study","commit_stats":null,"previous_names":["kientech/speech-recognition-study"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kientech%2FSpeech-Recognition-Study","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kientech%2FSpeech-Recognition-Study/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kientech%2FSpeech-Recognition-Study/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kientech%2FSpeech-Recognition-Study/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/kientech","download_url":"https://codeload.github.com/kientech/Speech-Recognition-Study/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243685585,"owners_count":20330982,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["assembly-language","pyaudio","python","speech-recognition"],"created_at":"2024-09-24T22:57:13.697Z","updated_at":"2025-03-15T05:15:11.720Z","avatar_url":"https://github.com/kientech.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Speech Recognition Study\n\n## Overview\n\nThis project focuses on exploring and developing a speech recognition system. The study involves various aspects of speech recognition, including audio preprocessing, model training, and real-time speech-to-text conversion. The project aims to build a robust and efficient speech recognition system that can be applied to various use cases, such as language education and healthcare.\n\n## Features\n\n- **Real-time Speech-to-Text Conversion**: Converts spoken words into text in real-time.\n- **Audio Preprocessing**: Includes noise reduction, normalization, and feature extraction.\n- **Model Training**: Utilizes machine learning techniques to train models on speech datasets.\n- **Sentiment Analysis**: Analyzes the sentiment of the recognized text as positive or negative.\n- **Multi-Speaker Diarization**: Identifies and separates speech segments from multiple speakers.\n\n## Installation\n\n1. **Clone the repository**:\n    ```bash\n    git clone https://github.com/yourusername/speech-recognition-study.git\n    cd speech-recognition-study\n    ```\n\n2. **Create a virtual environment**:\n    ```bash\n    python3 -m venv venv\n    source venv/bin/activate   # On Windows use `venv\\Scripts\\activate`\n    ```\n\n3. **Install dependencies**:\n    ```bash\n    pip install -r requirements.txt\n    ```\n\n4. **Set up environment variables**:\n    - Rename the `.env.example` file to `.env`.\n    - Update the environment variables as needed.\n\n5. **Download datasets**:\n    - Place your raw audio files in the `data/raw/` directory.\n\n## Usage\n\n### Training the Model\n\n1. **Preprocess the data**:\n    ```bash\n    python scripts/preprocess_data.py\n    ```\n\n2. **Train the model**:\n    ```bash\n    python scripts/train_model.py\n    ```\n\n3. **Evaluate the model**:\n    ```bash\n    python scripts/evaluate_model.py\n    ```\n\n### Running the Application\n\n1. **Start the web application**:\n    ```bash\n    python app/app.py\n    ```\n\n2. **Access the application**:\n    - Open your web browser and navigate to `http://localhost:5000`.\n\n3. **Use the Speech-to-Text service**:\n    - Click on the microphone icon to start recording your voice.\n    - The recognized text will be displayed in real-time.\n\n## Contributing\n\nContributions are welcome! Please follow these steps:\n\n1. Fork the repository.\n2. Create a new branch for your feature or bugfix.\n3. Commit your changes with clear descriptions.\n4. Push to your branch and create a Pull Request.\n\n## License\n\nThis project is licensed under the MIT License. See the [LICENSE](LICENSE) file for more details.\n\n## Acknowledgements\n\n- [SpeechRecognition](https://pypi.org/project/SpeechRecognition/) - Python library for performing speech recognition.\n- [TensorFlow](https://www.tensorflow.org/) - Machine learning framework used for model training.\n- [Librosa](https://librosa.org/) - Python package for music and audio analysis.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkientech%2Fspeech-recognition-study","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkientech%2Fspeech-recognition-study","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkientech%2Fspeech-recognition-study/lists"}