NDLI: HMM-based music retrieval using stereophonic feature information and framelength adaptation

Content Provider	IEEE Xplore Digital Library
Author	Schuller, B. Rigoll, G. Lang, M.
Copyright Year	2003
Description	Author affiliation: Inst. for Human-Comput. Commun., Technische Univ. Munchen, Germany (Schuller, B.; Rigoll, G.; Lang, M.)
Abstract	Music retrieval methods are in the focus of recent interest due to the increasing size of music databases as e.g. in the Internet. Among different query methods content-based media retrieval analyzing intrinsic characteristics of the source seems to form the most intuitive access. The key-melody in a song can be regarded as the major characteristic in music and leads to a query by humming or singing. In this paper we turn our attention to both, the features and the algorithm of matching in audio music retrieval. Nowadays approaches propagate the use of dynamic time warping for the matching process. As reference mostly midi-data or humming itself is used. However, first attempts matching humming to polyphonic audio exist. In this contribution we introduce hidden Markov models as an alternative for humming queries matching humming itself, mobile phone ring tones and polyphonic audio. The second object of our research is the introduction of a new way of melody enhancement prior to a latter feature extraction by use of stereophonic information. Further an adaptation throughout the extraction process of the frame length to the tempo of a musical piece helps improving similarity matching performance. The paper addresses the design of a working recognition engine and results achieved with respect to the alluded methods. A test database consisting of polyphonic audio clips, ring tones, and sung user data is described in detail.
Sponsorship	IEEE Signal Process. Soc., Comput. Soc., Circuits & Syst. Soc, Commun. Soc
File Size	329995
File Format	PDF
ISBN	0780379659
DOI	10.1109/ICME.2003.1221716
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-07-06
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Music information retrieval Hidden Markov models Spatial databases Internet Content based retrieval Mobile handsets Feature extraction Data mining Search engines Testing
Content Type	Text
Resource Type	Article

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