This repository contains a web application for multi-lingual transcription using OpenAI's Whisper Automatic Speech Recognition (ASR) model. Users can upload audio files in WAV, MP3, or M4A formats and get transcriptions in various languages. The application is designed with accessibility and data privacy in mind.

An intelligent speech recognition system that combines OpenAI's Whisper for accurate transcription with dual emotion detection models. Analyzes both audio characteristics (tone, pitch, intensity) and textual content to provide comprehensive emotional context alongside transcriptions.

A real-time system for seamless translation between multiple languages, this tool aims to foster inclusivity and collaboration among students, faculty, staff and visitors from diverse linguistic backgrounds at the University of Arizona.

🎤 Enhance speech recognition by detecting emotions in spoken language, combining OpenAI's Whisper and emotion analysis for deeper insights.