SuyashMore/MevonAI-Speech-Emotion-Recognition
Identify the emotion of multiple speakers in an Audio Segment
This tool helps call center managers and quality assurance teams automatically assess customer satisfaction. By analyzing recorded customer service calls, it identifies and tracks the emotions of multiple speakers. The input is an audio file of a call, and the output is a detailed breakdown of emotions expressed by each speaker, stored in a CSV file.
179 stars. No commits in the last 6 months.
Use this if you need to automatically monitor and quantify emotional sentiment in multi-speaker audio recordings, especially for customer service interactions.
Not ideal if you require real-time emotion detection for live conversations or need to analyze emotions from text transcripts rather than spoken audio.
Stars
179
Forks
46
Language
C
License
MIT
Category
Last pushed
Feb 12, 2023
Commits (30d)
0
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