Rhythm Recognition
Compares performed attacks and intervals with the expected rhythm.
Music · Education · Technology
AI Percussion Practice Assistant
Building a more adaptive and musician-centered way to practice.
Why I Started
Practice should create understanding, not only repetition.
Students often recognize that something went wrong, but do not always understand where it happened, why it happened, or how to improve it.
During years of percussion study and teaching, Jacky observed that musicians frequently repeat difficult passages without receiving meaningful feedback between lessons.
Many existing practice tools focus on scores, percentages, or simple right-and-wrong judgments. This project begins with a different question: can technology respond more like a thoughtful practice coach?
The goal is not to replace teachers. It is to help musicians practice more independently, identify specific problems, and arrive at their next lesson with greater awareness.
The Product
Feedback designed around musical decisions.
Practice Assistant
In Development
Performance Analysis
Measure 2, Beat 1 e
This sixteenth note arrived slightly early. Repeat the beat slowly three times, then reconnect it to the surrounding measure.
Rhythm
Accurate
Timing
One Focus Area
Progress
Improving
The assistant analyzes a recorded percussion performance and translates technical data into clear, musician-friendly guidance.
Instead of presenting only a numerical score, it identifies the musical location that needs work, explains the issue, and recommends a focused next step.
Repeated takes can be compared so the system recognizes improvement, recurring weak points, and material that may be ready to move on.
Current Capabilities
A growing engine for percussion practice analysis.
Timing Analysis
Identifies early, late, short, and long rhythmic events at specific musical locations.
Adaptive Coaching
Recommends targeted practice based on recurring weak points and improvement across repeated takes.
Session History
Tracks previous performances and compares changes in timing, consistency, and musical focus.
Recording Quality
Evaluates whether the recording is clear enough to support useful musical analysis.
Rudiment Development
Expanding recognition and feedback for flams, drags, rolls, accents, and other percussion language.
Design Principles
Musical Language
Feedback should refer to measures, beats, subdivisions, technique, and musical intention.
Specific Feedback
Musicians need to know exactly where an issue occurred, not only that a performance was imperfect.
Actionable Practice
Every analysis should lead to a clear next step that can be used immediately.
Progress Over Scores
The system should recognize improvement and reduce emphasis on material the musician has already mastered.
Future Vision
From rhythm analysis to a broader adaptive practice environment.
Dynamics and Articulation
Recognizing accents, dynamic relationships, consistency, and expressive contrast.
Expanded Rudiments
Developing stronger analysis for flams, rolls, drags, diddles, and compound rudimental language.
Timpani Pitch
Supporting tuning accuracy, interval recognition, and pitch-centered timpani practice.
Broader Instrument Support
Extending adaptive practice tools to keyboard percussion, drum set, and other musical disciplines.
Technology With Purpose
AI should not replace the teacher. It should help every student practice with greater understanding between lessons.