Voice Emotion Recognition Application
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The Voice Emotion Detection Application is a web-based tool for analyzing and detecting emotions in audio files. Built using FastAPI with Jinja2 for templating, the app provides an intuitive user interface for audio playback and emotion visualization. The application is containerized using Docker, ensuring a consistent and reproducible deployment environment. We leverage a fine-tuned Whisper model by OpenAI for accurate voice-to-text transcription, which serves as the input for emotion detection.

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