Coding Challenge #151: Ukulele Tuner with Machine Learning Pitch Detection Model

In this challenge, I attempt to create a Ukulele tuner in JavaScript using p5.js, ml5.js and the pre-trained machine learning model CREPE: A Convolutional Representation for Pitch Estimation. I challenge you to make one with a more elegant and creative interface!

💻 Code: https://thecodingtrain.com/CodingChallenges/151-ukulele-tuner.html

Links discussed in this video:
🔗 ml5: https://ml5js.org/
🔗 CREPE: A Convolutional REpresentation for Pitch Estimation: https://github.com/marl/crepe
🔗 Hannah Davis's work: http://www.hannahishere.com/
🔗 How to turn any GitHub repo into a CDN: https://gomakethings.com/how-to-turn-any-github-repo-into-a-cdn/
🔗 Online Tone Generator: https://www.szynalski.com/tone-generator/

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🎥Coding Challenges: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH
🎥Intro to Programming using p5.js: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6Zy51Q-x9tMWIv9cueOFTFA

📄 Code of Conduct: https://github.com/CodingTrain/Code-of-Conduct
🌐Help us caption and translate: http://www.youtube.com/timedtext_cs_panel?c=UCvjgXvBlbQiydffZU7m1_aw&tab=2
🚩Suggest Topics: https://github.com/CodingTrain/Rainbow-Topics
👾Share your contribution: https://thecodingtrain.com/Guides/community-contribution-guide.html

🔗 p5.js: https://p5js.org
🔗 Processing: https://processing.org

#tuner #ml #pitch

Видео Coding Challenge #151: Ukulele Tuner with Machine Learning Pitch Detection Model канала The Coding Train