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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.
Finds problems in MP3 files and helps the user to fix many of them using included tools. Looks at both the audio part (VBR info, quality, normalization) and the tags containing track information (ID3.) Also includes a tag editor and a file renamer.
MARF is a general cross-platform framework with a collection of algorithms for audio (voice, speech, and sound) and natural language text analysis and recognition along with sample applications (identification, NLP, etc.) of its use, implemented in Java.
Beat tracking software that produces a real time beat-pattern hierarchy with real time latency requirements. The system utilizes a blackboard structure over amplitude to construct the beat hierarcy from a standard JMF input stream.
Diglo is a Music Information Retrieval System based on Computer Vision and Audio Spectrum Analysis, using algorithmic operations to find emergent patterns in musical performance. Also it functions as a low-cost Motion Capture Analysis system.
Moodtrack contains Python classes for music-emotion analysis and assembly, enabling users to build soundtracks based on emotion and timing. USERS: Music Supervisors/Composers/Producers, Game Audio Developers, Content Providers. FILM DEMO: moodtrack.tv
Build your music portal easily. With this PHPNuke module you will be able to publish music information: Artists data, albums, songs, audio samples, chart lists, themes and more. You can install it with no technical knowledge.
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.
A set of software components used to investigate and implement searching of music and audio. This covers content-based retrieval and meta-data based solutions, segmentation and content selection (summarisation) of audio and music (MIDI, MP3 and WAV).
Terz the incredible AutoTagger is a automated Audio File Tagger and File Renamer. It uses information provided by musicbrainz. By using context information Terz achieves very good results. Other features: show incomplete albums, search for Duplicates ...
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