Application of fast filter bank for transcription of polyphonic signals
In this paper, a novel approach to the transcription of polyphonic signals is investigated. The method makes use of top-down analysis algorithm and bottom-up reconstruction of frequency contents of musical signals using a reference database that contains the spectral profiles of all single notes. Recognition accuracy is enhanced by analyzing the time-frequency contents using a bank of narrow band filters with very sharp transition band. The filters are designed using the Frequency-Response Masking technique. The high selectivity of the filters has enhanced the frequency analysis and increased the accuracy of identification. The method was tested with musical notes generated from an acoustic piano. The results show that for single notes and chords up to four notes, perfect identification can be achieved.
fast filter bank transcription polyphonic signals recognition frequency-response masking technique musical notes