A system for the automatic transcription of music is described. Signal processing methods are introduced that solve different fac- ets of the overall problem. Main emphasis is laid on finding the multiple pitches of concurrent musical sounds. Sound onset detection and musical meter estimation are described to some extent. Other topics discussed are noise robustness, estimation of the number of concurrent voices, sound separation, and musical instrument recognition. The presented system is evaluated using a database of musical sounds, synthesized MIDI-songs, and CD- recordings. Also, the performance of the system is compared to that of human listeners.
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