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Note Recognition icon

1.10 by mystage.fm - Developing Scanners for Sheet Music


Oct 14, 2024

About Note Recognition

An acoustic note detection app - Convert your music into sheet music!

"Note Recognition" is an acoustic music scanner that converts music into an alternative sheet music. It helps you learning new songs by displaying sheet music suggestions for the recorded audio and provides you the functionality to change the audio speed and slow down your recorded music ("audio slow motion"). It's perfect for musicians who want to write down their own songs or who want to learn new songs and don't know how to play them.

This sheet music scanner works with pitch detection and frequency analysis (like FFT Fast Fourier Transformation for example) and is perfect for musicians (especially vocal and guitar or piano players). The note analyzer listens to your music, analyzes it's pitch and converts your music back into an alternative sheet music. You can use it to detect the notes of your songs (note identification, the app helps you creating a transcription), validate the pitch of your voice, sing into the microphone and use it as a vocal trainer or to transcribe your songs while playing along with your guitar (or whichever instrument you are playing). And of course, you can also use the note recognition app as a simple audio / voice recorder.

This note detector won't extract 100% of the played notes but depending on the quality of the signal the note detection algorithm will do a good job and will give you useful sheet music suggests. Because the detector can't separate multiple instruments you will get the best results if just one instrument is playing simultaneously or if you record your voice without any background music. Also, you should place your phone in front of your instrument, your voice or your speakers to improve the detection quality.

Please note that the note recognition algorithm performs intense mathematical calculations and it will take some time to analyze your recorded audio.

To be fair, here's what this app is NOT able to do:

Chord recognition

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This app has no specific chord recognition algorithm and therefore won't detect any chords! Don't play multiple notes simultaneously!

Separation of multiple instruments

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The acoustic scanner can't separate multiple instruments. If you record multiple instruments playing simultaneously you will get bad detection results!

Live note recognition

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This app is not able to show you live sheet music recognition results. Instead, it will take some time to perform the frequency analysis and show you the results.

Real sheet music

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This app is not able to show you real sheet music. Instead, it works with an alternative sheet music displayed at the screenshots.

100% match percentage

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This app won't detect 100% of the played notes and there will also be wrong detections. But depending on the quality of the input signal it will give you useful suggests!

The audio speed change functionality provides two music speed factors: 2x and 4x (as slow as normal). If you use this functionality, the sheet music recognition app will zoom into the music score to make it easier for you. Mostly, it's recommended to change music speed if you want to analyze very fast songs because the sheet music gets illegible. Also, by changing the speed of your audio record you'll be able to identify very fast notes easy by ear.

Having bad music note detection results sometimes? Try to open the settings and adjust the detail level at which it shall detect notes and convert music into notes.

The music note detection was tested with guitar, piano and vocal but should work with every instrument as long as it plays notes above B1 (61,7 Hz) and convert music to sheet music.

What's New in the Latest Version 1.10

Last updated on Sep 18, 2023

- Export zu note-recognition.com
- Experimental midi export

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Additional APP Information

Latest Version

Request Note Recognition Update 1.10

Uploaded by

Muhammad Didik

Requires Android

6.0

Available on

Get Note Recognition on Google Play

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Note Recognition Screenshots

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