Audio Quality Is the Real Bottleneck in AI Sheet Music Transcription
The Source File Decides the Score The biggest misconception is that AI transcription quality is mostly a software problem. In practice, the recording usually decides the ceiling. A clean source gives the model something stable to measure: note onsets, harmonic structure, and timing. A cluttered source hides those same cues under reverb, bleed, compression artifacts, and overlapping instruments. For a broader look at the mechanics, the AI transcription guide shows the basic workflow, but the part that changes the result most is still the audio you feed it. ...