music-computing/amads
May 2026 – Jun 2026
2 Months active
Languages Used
Python
Technical Skills
algorithm developmentmusic processingunit testingmusic theory
Arnav Sayooj
PROFILE
Arnav Sayooj
Worked on the music-computing/amads repository to deliver two core features enhancing musical score processing and analysis. Developed a Python-based algorithm to trim leading silence from musical scores, ensuring scores start at time zero while preserving originals for reproducibility and automated pipelines. Adapted methods from the Matlab MIDI Toolbox to achieve robust score trimming and laid the foundation for broader workflow integration. Subsequently, ported the concur onset grouping function, enabling rhythm analysis and quantification based on inter-onset intervals. Incorporated unit testing throughout, expanding the repository’s analytical capabilities and aligning its feature set with established music processing toolkits. No bugs were reported.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
197
Activity Months2
Your Network
8 peopleWork History
June 2026
1 Commits • 1 Features
Jun 1, 2026June 2026 monthly summary for music-computing/amads: Delivered the Concur Onset Grouping feature for musical scores by porting the concur function from the MIDI Toolbox to enable distinct onset-group computation based on inter-onset intervals. The feature includes tests and expands rhythm analysis and quantification capabilities, aligning AmADS with established tooling. CI reported regression tests could not be executed in this environment, with doc tests running instead. This work enhances automated score analytics, improves analytical parity with MIDI Toolbox, and lays groundwork for further rhythm- and tempo-related features.
1 Commits • 1 Features
Jun 1, 2026June 2026 monthly summary for music-computing/amads: Delivered the Concur Onset Grouping feature for musical scores by porting the concur function from the MIDI Toolbox to enable distinct onset-group computation based on inter-onset intervals. The feature includes tests and expands rhythm analysis and quantification capabilities, aligning AmADS with established tooling. CI reported regression tests could not be executed in this environment, with doc tests running instead. This work enhances automated score analytics, improves analytical parity with MIDI Toolbox, and lays groundwork for further rhythm- and tempo-related features.
June 2026
May 2026
1 Commits • 1 Features
May 1, 2026May 2026 monthly summary for the music-computing/amads repository. The main focus was delivering a feature to improve score processing reliability and paving the way for automated pipelines. No major bugs were reported or fixed this month for this repo.
May 2026
1 Commits • 1 Features
May 1, 2026May 2026 monthly summary for the music-computing/amads repository. The main focus was delivering a feature to improve score processing reliability and paving the way for automated pipelines. No major bugs were reported or fixed this month for this repo.
Activity
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Quality Metrics
Correctness100.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
algorithm developmentmusic processingmusic theoryunit testing
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