Title :
On the reduction of false positives in singing voice detection
Author :
Lehner, Bernhard ; Widmer, Gerhard ; Sonnleitner, Reinhard
Abstract :
Motivated by the observation that one of the biggest problems in automatic singing voice detection is the confusion of vocals with other pitch-continuous and pitch-varying instruments, we propose a set of three new audio features designed to reduce the amount of false vocal detections. This is borne out in comparative experiments with three different musical corpora. The resulting singing voice detector appears to be at least on par with more complex state-of-the-art methods. New features and classifier are very light-weight and in principle suitable for on-line use.
Keywords :
audio signal processing; music; speech recognition; automatic singing voice detection; false positive reduction; false vocal detection; pitch continuous instrument; pitch varying instrument; Databases; Feature extraction; Harmonic analysis; Instruments; Music; Speech; Support vector machines;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
DOI :
10.1109/ICASSP.2014.6855054