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2007
Conference Paper
Titel
Detecting phonemes within the singing of polyphonic music
Abstract
Automated detection of phonemes in polyphonic music is an important prerequisite for synchronizing music and corresponding lyrics. This paper describes a novel approach of automatic phoneme estimation within digitized music pieces. Since there are already a number of publications, aiming at distinguishing singing passages and non-singing passages in music, this paper only concentrates on detecting voiced phonemes in singing passages of music. In a first step, the leading melody of a segment is recognized, subsequently the harmonics are extracted and selected. Thereafter, the harmonics are resynthesized to an audible signal. Finally, a common feature extraction and classification algorithm is applied using a number of different classifiers.