audio-to-text transcription system that utilizes cutting-edge technologies to convert spoken words into written text. This project is designed to handle various audio formats and provide accurate transcriptions, making it a valuable tool for applications such as speech recognition, voice assistants, and more.
Features Multi-format Audio Support: AcousticDecipher supports a wide range of audio formats, ensuring flexibility and compatibility with different sources.
High Accuracy Transcription: Leveraging advanced speech recognition algorithms, the system achieves high accuracy in transcribing spoken content.
Easy Integration: The project is built with simplicity and ease of integration in mind, allowing developers to seamlessly incorporate it into their applications.
Requirements Python 3.10 Flask==2.0.0 googletrans==4.0.0-rc1 pydub==0.25.1 SpeechRecognition PocketSphinx gunicorn==20.1.0
Docker file : docker build -t your_image_name:your_tag . docker run -p 5001:5001 your_image_name:your_tag Access the Application Visit http://localhost:5001