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Stop vibe-debugging.
Plug Claude into your app's actual errors.
AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
...It also includes tools for managing and profiling large music collections and for checking audio for production errors. jMIR includes software for extracting features, applying machine learning algorithms, applying heuristic error error checkers, mining metadata and analyzing metadata.
A utility to analyse sound files and print out the volume profile of the start and end. The idea is to embed those profiles in metadata so players can do intelligent mixing between tracks. Supports FLAC and MP3. Implemented in http://git.musicpd.org
Connect your computer to your music/sound system and use your netbook, laptop, Apple, IPhone or smartphone to control the server from wherever you are. Perfect for parties, pubs... Access your audio, mp3 library remotely or dj from the dance floor.
OMEN (On-demand Metadata Extraction Network) is a tomcat based system that allows external users (music information researchers) to request from participating libraries the extraction of features from music archives without violating copyright.
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Goal of this project is to develop a piece of java-based software for handling of music files. The program identifies the provided music files using several techniques, retrieves the matching metadata from the internet and updates the file.