SpeechPulse Emotion Analyzer

Example Use Cases

• 1

  Detect emotions from speech audio without relying on machine learning models.

• 2

  Assess the urgency level of spoken content based on prosodic features.

• 3

  Detect sarcasm by comparing audio emotion with text sentiment.

Description

SpeechPulse is an MCP server that provides voice emotion understanding by analyzing speech audio with rule-based prosodic features such as pitch, energy, and rhythm. It supports emotion detection for seven emotions, urgency assessment, and sarcasm detection without machine learning dependencies in its Lite tier. The server is MCP compatible, enabling integration with clients like Claude Desktop, and offers planned tiers with advanced ASR and ML capabilities.