Our approach
Digital signal processing
Amplitude in time domain
Amplitude in time domain
Time to frequency domain transform
Spectrogram in frequency domain
Pitch detection
YIN algorithm
- Shifts and copies the sound wave in time and compares it to the original to find repeating patterns.
- Measures how different the shifted wave is from the original at each time lag.
- Identifies the "first lowest dip", the earliest time shift where the difference between the original and shifted wave is smallest. This represents the fundamental frequency because it marks the first complete cycle of the repeating pattern, avoiding errors from harmonics or overtones.
Audio analysis workflow
Our key elements
Student Coaches
High school volunteers provide mentorship, encouragement, and role models for younger students. They understand the challenges of learning music and inspire confidence through their own experience.
Technology Tools
Our software provides instant feedback on note accuracy, helps students track progress, and makes practice more engaging through gamification and visualization.
Family Involvement
We engage families as partners in their child's musical journey, providing resources to support practice at home.
Why this approach works
Immediate feedback
Technology provides real-time information about performance, helping students understand what they're doing well and where to improve.
Self-paced progress
Students move at their own speed. Some master concepts quickly while others need more time, and both are celebrated and supported.
Community and joy
Learning together builds friendships and community. Students perform together and celebrate milestones together.
Ready to get started?
Join our community of students, coaches, and families learning music together
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