gkotti4/guitar-audio-transcriber-ai
Guitar Audio Transcriber is a deep-learning research project aimed at converting raw guitar audio into musical note representations (and eventually tabulature) using neural networks and signal processing. The current implementation focuses on single-note classification using CNN and MLP models trained on time-frequency audio features.
This system helps guitarists and musicians convert raw monophonic guitar audio (single notes played one at a time) into their corresponding musical note representations, like E2 or F#3. It takes an audio clip of guitar playing as input and outputs a list of predicted notes. This is useful for anyone wanting to quickly identify individual guitar pitches from recordings.
Use this if you need to transcribe single guitar notes from audio clips into standard musical notation.
Not ideal if you need to transcribe chords, multiple notes played simultaneously, or require a polished, ready-to-use application with real-time capabilities or tabulature output.
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Python
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Last pushed
Feb 19, 2026
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