Music Analysis
Createdhugohow
Analyzes music audio from local files, YouTube links, or audio URLs using librosa, Whisper, and LLMs.
About
This tool provides a Model Context Provider (MCP) that leverages librosa and Whisper with Large Language Models (LLMs) for in-depth audio analysis. It supports analyzing audio from local files, YouTube links, and direct audio URLs. With seamless integration into platforms like Claude Desktop, users can easily extract key musical insights such as beat analysis, duration, MFCC, spectral centroid values, and onset times directly from a conversational interface.
Key Features
- Seamless integration with Claude Desktop.
- Integrates librosa for comprehensive audio analysis.
- Uses Whisper for lyric transcription.
- Analyzes audio from local files, YouTube links, and audio URLs.
- 7 GitHub stars
- Calculates beat, duration, MFCC, spectral centroid values, and onset times.
Use Cases
- Transcribing lyrics from a song using Whisper.
- Analyzing the beat and structure of a song.
- Determining the duration of an audio file.