DocumentCode
780055
Title
Separation of Singing Voice From Music Accompaniment for Monaural Recordings
Author
Li, Yipeng ; Wang, DeLiang
Author_Institution
Dept. of Comput. Sci. & Eng., Ohio State Univ., Columbus, OH
Volume
15
Issue
4
fYear
2007
fDate
5/1/2007 12:00:00 AM
Firstpage
1475
Lastpage
1487
Abstract
Separating singing voice from music accompaniment is very useful in many applications, such as lyrics recognition and alignment, singer identification, and music information retrieval. Although speech separation has been extensively studied for decades, singing voice separation has been little investigated. We propose a system to separate singing voice from music accompaniment for monaural recordings. Our system consists of three stages. The singing voice detection stage partitions and classifies an input into vocal and nonvocal portions. For vocal portions, the predominant pitch detection stage detects the pitch of the singing voice and then the separation stage uses the detected pitch to group the time-frequency segments of the singing voice. Quantitative results show that the system performs the separation task successfully
Keywords
audio recording; music; speech processing; speech recognition; lyrics recognition; monaural recordings; music accompaniment; music information retrieval; predominant pitch detection; singer identification; singing voice detection; singing voice separation; time-frequency segments; Auditory system; Automatic speech recognition; Cognitive science; Computer science; Humans; Instruments; Laboratories; Music information retrieval; Speech recognition; Time frequency analysis; Predominant pitch detection; singing voice detection; sound separation;
fLanguage
English
Journal_Title
Audio, Speech, and Language Processing, IEEE Transactions on
Publisher
ieee
ISSN
1558-7916
Type
jour
DOI
10.1109/TASL.2006.889789
Filename
4156205
Link To Document