# Speech Translation Synthesis ### A Speech-To-Speech Translator SDSU's Artificial Intelligence Club Group Project Spring 2024 semester This is a Gradio-based demo that performs speech-to-speech translation. It uses the Whisper model for speech-to-text transcription, the `translate` library for translation, and the Coqui TTS model for text-to-speech synthesis. ## Features - Transcribe speech from an audio file or microphone input - Translate transcribed text into a selected target language - Synthesize translated text back into speech using the input speaker's voice ## Requirements - Python 3.7 or higher - Required Python packages listed in `requirements.txt` ## Setup 1. **Clone the repository:** ```sh git clone https://github.com/irmtou/speechtranslationsynthesis.git cd speechtranslationsynthesis ``` 2. **Create a virtual environment and activate it:** ```sh python3 -m venv venv source venv/bin/activate # On Windows use `venv\Scripts\activate` ``` 3. **Install the required packages:** ```sh pip install -r requirements.txt ``` ## Usage 1. **Run the application:** ```sh python app.py ``` 2. **Access the demo interface:** - After running the application, Gradio will provide you with a local URL. Open this URL in your web browser to access the demo interface. ## Code Explanation - **app.py**: The main application script that sets up the Gradio interface and defines the functions for speech-to-text transcription, translation, and text-to-speech synthesis. ### Key Components - **speech_to_text(audio)**: Uses the Whisper model to transcribe speech from an audio file. - **translate(text, language)**: Translates the transcribed text into the target language. - **s2s(audio, language)**: Combines the transcription and translation functions, then synthesizes the translated text into speech using the input speaker's voice. ### Supported Languages 🗣️ - Arabic - Portuguese - Chinese - Czech - Dutch - English - French - German - Italian - Polish - Russian - Spanish - Turkish - Korean - Hungarian - Hindi ## License This project is licensed under the MIT License. See the LICENSE file for more details. ## Acknowledgements - SDSU's Artificial Intelligence Club for giving us the idea. - [Gradio](https://www.gradio.app/) for providing the easy-to-use interface library. - [Whisper](https://github.com/openai/whisper) for the speech-to-text model. - [Coqui TTS](https://github.com/coqui-ai/TTS) for the text-to-speech synthesis model. - [translate](https://pypi.org/project/translate/) for the translation functionality. ## Contributing Contributions are welcome! Please open an issue or submit a pull request if you have any improvements or suggestions. ## Contact For questions or support, please contact [elee200@hotmail.com].