freakingrocky/EmoCh
Emotion Analysis from Speech AI in Python using mfcc, mel, chroma
This tool analyzes the emotional tone of spoken language, helping you understand the feelings conveyed through voice. It takes live speech or audio recordings as input and outputs a classification of the speaker's emotion, such as anger, happiness, or sadness. It's designed for professionals in fields like customer service, call centers, or qualitative research who need to gauge emotional sentiment from audio-only interactions.
No commits in the last 6 months.
Use this if you need to quickly classify emotions from spoken audio, particularly in situations where visual cues are not available.
Not ideal if you require real-time, instantaneous emotion detection without any delay, or if accuracy is critical for diverse global accents beyond North American English.
Stars
9
Forks
2
Language
Python
License
MIT
Category
Last pushed
Dec 28, 2021
Commits (30d)
0
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