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JSS
2008
217views more  JSS 2008»
11 years 8 months ago
MUSEMBLE: A novel music retrieval system with automatic voice query transcription and reformulation
So far, many researches have been done to develop efficient music retrieval systems, and query-by-humming has been considered as one of the most intuitive and effective query meth...
Seungmin Rho, Byeong-jun Han, Eenjun Hwang, Minkoo...
IJFCS
2006
87views more  IJFCS 2006»
11 years 8 months ago
Flexible Music Retrieval in Sublinear Time
Music sequences can be treated as texts in order to perform music retrieval tasks on them. However, the text search problems that result from this modeling are unique to music retr...
Kimmo Fredriksson, Veli Mäkinen, Gonzalo Nava...
MM
2003
ACM
123views Multimedia» more  MM 2003»
12 years 1 months ago
Music scale modeling for melody matching
Several time series matching techniques have been proposed for content-based music retrieval. These techniques represent a melody by a time series of pitch values and use time war...
Yongwei Zhu, Mohan S. Kankanhalli
ICMCS
2007
IEEE
145views Multimedia» more  ICMCS 2007»
12 years 2 months ago
MUSEMBLE: A Music Retrieval System Based on Learning Environment
Query reformulation has been suggested as an effective way to improve retrieval efficiency in text information retrieval and one of the well-known techniques for query reformulati...
Seungmin Rho, Byeong-jun Han, Eenjun Hwang, Minkoo...
MUE
2007
IEEE
124views Multimedia» more  MUE 2007»
12 years 2 months ago
Music Information Retrieval Using a GA-based Relevance Feedback
Recently, there has been an increased interest in the query reformulation using relevance feedback with evolutionary techniques such as genetic algorithm for multimedia informatio...
Seungmin Rho, Eenjun Hwang, Minkoo Kim
MUE
2007
IEEE
134views Multimedia» more  MUE 2007»
12 years 2 months ago
An Efficient Voice Transcription Scheme for Music Retrieval
In this paper, we propose a new scheme for transcribing sung or hummed queries into a sequence of pitch and duration pairs automatically for efficient music retrieval. More specif...
Byeong-jun Han, Seungmin Rho, Eenjun Hwang
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