Speech Transcript Generation

This project involves generating transcripts from audio recordings using speech recognition technology. The system converts spoken language into text, making it easier to review and analyze spoken content.

Features

• Transcribes spoken audio into text using advanced speech recognition algorithms.
• Supports various audio formats and languages.
• Provides a user-friendly interface for uploading audio files and receiving transcripts.
• Includes features for editing and saving transcripts.

Installation

To set up the Speech Transcript Generation system on your local machine, follow these steps:

1. Clone the Repository

   git clone https://github.com/username/speech-transcript-generation.git
   cd speech-transcript-generation

2. Set Up Virtual Environment (Optional but Recommended)

   python3 -m venv venv
   source venv/bin/activate   # On Windows: venv\Scripts\activate

3. Install Required Packages

   pip install -r requirements.txt

Usage

To start generating transcripts from speech, run the main script and upload your audio recordings through the web interface:

python app.py

Access the application via your web browser, upload an audio file, and receive a generated transcript.

Results

The system provides accurate text transcripts of spoken audio, which can be reviewed, edited, and saved for future reference.