speech-emotion-identifier
CommunityAccurately recognize speech emotions in real time.
AuthorLawliet2004
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill enables automated identification of emotional states from speech recordings, facilitating sentiment analysis and user engagement insights.
Core Features & Use Cases
- Emotion Recognition: Classifies speech segments into emotions like angry, disgust, fear, happy, neutral, and sad.
- Real-Time Processing: Supports processing live microphone input for immediate emotion detection.
- Use Case: A customer service system uses this Skill to monitor caller emotions and escalate issues proactively.
Quick Start
Use the speech-emotion-identifier skill to analyze a sample speech file and output the detected emotion with confidence.
Dependency Matrix
Required Modules
torchpandasscikit-learn
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: speech-emotion-identifier Download link: https://github.com/Lawliet2004/Speech-emotion-Detector/archive/main.zip#speech-emotion-identifier Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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