DocumentCode
180335
Title
On the reduction of false positives in singing voice detection
Author
Lehner, Bernhard ; Widmer, Gerhard ; Sonnleitner, Reinhard
fYear
2014
fDate
4-9 May 2014
Firstpage
7480
Lastpage
7484
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location
Florence
Type
conf
DOI
10.1109/ICASSP.2014.6855054
Filename
6855054
Link To Document