Rhythm Analyzer

Rhythm Analyzer ingests structured rhythm data rather than audio. Supported inputs include tempo in BPM and a time-stamped event list, a plain rhythm notation, or a MIDI-like payload. It estimates tempo, detects meter, and computes a rhythm density score to quantify note-event distribution. This tool targets musicians practicing complex meters, teachers evaluating rhythm literacy, and producers coordinating percussion parts. It does not perform audio analysis; instead it analyzes symbolic rhythm representations to produce objective metrics that guide practice and composition.
Core algorithms include beat-tracking via autocorrelation of event timestamps, tempo estimation, and pattern recognition for note durations. It generates outputs such as estimated BPM, preferred time signature, beat alignment confidence, and a syncopation index. Optional advanced metrics include swing feel estimation, rhythm diversity, and cross-track consistency. Inputs can be a simple event list or a MIDI-like payload; the system validates formats, handles missing beats gracefully, and quantifies data quality to warn about potential inaccuracies.
Typical use cases span education, practice planning, and production workflows. In classrooms, instructors compare students’ rhythm accuracy across exercises and export summaries for assignments. In studios, composers test groove variations and compare rhythm density across takes. Unique value propositions include multi-format input without audio, standardized rhythm metrics, and exportable results suitable for reporting or curriculum integration. The tool supports batch processing for multiple tracks, dashboards for trend analysis, and guidance by metric deltas to improve rhythmic clarity and ensemble cohesion.