The purpose of this app is to help people in their learning process (for example, when learning musical instruments).
It listens to the microphone on your device, in real time, and converts the audio data to frequencies - an audio spectrogram (also known as FFT - fast Fourier transform). The difference compared to a typical audio spectrogram is the way frequencies are displayed - mapped on a spiral type graph - conceived to indicate the frequencies of the musical notes (C, C#, D, D#, E, F, F#, G, G#, A, A#, B).
When first launching, please allow the app to access the microphone.
It's a next generation spectrum analyzer - it does 3 things for you:
- helps you tune your instrument
- highlights the notes in a song you like
- lets you see the notes you play on your instrument
Music used in preview: Smooth Lovin by Kevin MacLeod (incompetech.com) Licensed under Creative Commons: By Attribution 3.0 License http://creativecommons.org/licenses/by/3.0/
It listens to the microphone on your device, in real time, and converts the audio data to frequencies - an audio spectrogram (also known as FFT - fast Fourier transform). The difference compared to a typical audio spectrogram is the way frequencies are displayed - mapped on a spiral type graph - conceived to indicate the frequencies of the musical notes (C, C#, D, D#, E, F, F#, G, G#, A, A#, B).
When first launching, please allow the app to access the microphone.
It's a next generation spectrum analyzer - it does 3 things for you:
- helps you tune your instrument
- highlights the notes in a song you like
- lets you see the notes you play on your instrument
Music used in preview: Smooth Lovin by Kevin MacLeod (incompetech.com) Licensed under Creative Commons: By Attribution 3.0 License http://creativecommons.org/licenses/by/3.0/
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