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ISMIR
2004
Springer

Towards Automatic Identification Of Singing Language In Popular Music Recordings

9 years 7 months ago
Towards Automatic Identification Of Singing Language In Popular Music Recordings
The automatic analysis of singing from music is an important and challenging issue within the research target of content-based retrieval of music information. As part of this research target, this study presents a first attempt to automatically identify the language sung in a music recording. It is assumed that each language has its own set of constraints that specify which of the basic linguistic events present in a singing process are allowed to follow another. The acoustic structure of individual languages may, thus, be characterized by statistically modeling those constraints. To this end, the proposed method employs vector clustering to convert a singing signal from its spectrum-based feature representation into a sequence of smaller basic phonological units. The dynamic characteristics of the sequence are then analyzed by using bigram language models. Since the vector clustering is performed in an unsupervised manner, the resulting system does not use sophisticated linguistic kn...
Wei-Ho Tsai, Hsin-Min Wang
Added 02 Jul 2010
Updated 02 Jul 2010
Type Conference
Year 2004
Where ISMIR
Authors Wei-Ho Tsai, Hsin-Min Wang
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