Automatic Transcription of Audio Signals

This thesis is concerned with automatic transcription of monophonic audio signals into the MIDI representation. The transcription system incorporates two separate algorithms in order to extract the necessary musical information from the audio signal. The detection of the fundamental frequency is based on a pattern recognition method applied on the constant Q spectral transform. The onset detection is achieved by a sequential algorithm based on computing a statistical distance measure between two autoregressive models. The results of both algorithms are combined by heuristic rules eliminating the transcription errors. Finally, new criteria for evaluation are proposed and applied on transcription results of several musical recordings.