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Duplicate Record Detection: A Survey

by Ahmed K. Elmagarmid, Panagiotis G. Ipeirotis, Vassilios S. Verykios , 2007
"... Often, in the real world, entities have two or more representations in databases. Duplicate records do not share a common key and/or they contain errors that make duplicate matching a difficult task. Errors are introduced as the result of transcription errors, incomplete information, lack of standa ..."
Abstract - Cited by 448 (11 self) - Add to MetaCart
of standard formats, or any combination of these factors. In this paper, we present a thorough analysis of the literature on duplicate record detection. We cover similarity metrics that are commonly used to detect similar field entries, and we present an extensive set of duplicate detection algorithms

MIREX 2007: audio cover song detection using chroma features and hidden Markov model. Music Information Retrieval Evaluation eXchange (MIREX) extended abstract

by Youngmoo E. Kim, Daniel Perelstein , 2007
"... Our submission to the MIREX 2007 Audio Cover Song Detection task uses Hidden Markov Models trained from pitch chroma features estimated from the sound data. We hypothesize that the state sequences generated from the HMMs from cover songs will be similar to each other, at least in terms of the relati ..."
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Our submission to the MIREX 2007 Audio Cover Song Detection task uses Hidden Markov Models trained from pitch chroma features estimated from the sound data. We hypothesize that the state sequences generated from the HMMs from cover songs will be similar to each other, at least in terms

Finding Cover Songs by Melodic Similarity

by Christian Sailer, Karin Dressler
"... This paper describes the submission to the MIREX 06 (Music Information Retrieval EXchange) Audio Cover Song task delivered by Fraunhofer IDMT. A method to detect cover songs by comparing the most salient melodies of musical pieces is proposed, based on the assumption that cover versions of one song ..."
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This paper describes the submission to the MIREX 06 (Music Information Retrieval EXchange) Audio Cover Song task delivered by Fraunhofer IDMT. A method to detect cover songs by comparing the most salient melodies of musical pieces is proposed, based on the assumption that cover versions of one song

Chroma binary similarity and local alignment applied to cover song identification

by Joan Serrà, Emilia Gómez, Perfecto Herrera, Xavier Serra - IEEE Trans. on Audio, Speech, and Language Processing , 2008
"... Abstract—We present a new technique for audio signal comparison based on tonal subsequence alignment and its application to detect cover versions (i.e., different performances of the same underlying musical piece). Cover song identification is a task whose popularity has increased in the Music Infor ..."
Abstract - Cited by 69 (11 self) - Add to MetaCart
Abstract—We present a new technique for audio signal comparison based on tonal subsequence alignment and its application to detect cover versions (i.e., different performances of the same underlying musical piece). Cover song identification is a task whose popularity has increased in the Music

Unsupervised detection of cover song sets: Accuracy improvement and original identification

by Joan Serrà, Massimiliano Zanin, Cyril Laurier, Mohamed Sordo - In International Society for Music Information Retrieval Conference , 2009
"... The task of identifying cover songs has formerly been studied in terms of a prototypical query retrieval framework. However, this framework is not the only one the task allows. In this article, we revise the task of identifying cover songs to include the notion of sets (or groups) of covers. In part ..."
Abstract - Cited by 7 (3 self) - Add to MetaCart
The task of identifying cover songs has formerly been studied in terms of a prototypical query retrieval framework. However, this framework is not the only one the task allows. In this article, we revise the task of identifying cover songs to include the notion of sets (or groups) of covers

IMPROVING BINARY SIMILARITY AND LOCAL ALIGNMENT FOR COVER SONG DETECTION

by Joan Serrà, Emilia Gómez, Perfecto Herrera
"... This is an extended abstract that overviews our cover song detection system as submitted to the MIREX 2008 audio cover song identification task. The system is developed starting from our 2007 submission but includes some important modifications and parameter tuning. Our system obtains the best resul ..."
Abstract - Cited by 2 (1 self) - Add to MetaCart
This is an extended abstract that overviews our cover song detection system as submitted to the MIREX 2008 audio cover song identification task. The system is developed starting from our 2007 submission but includes some important modifications and parameter tuning. Our system obtains the best

COVER SONG RETRIEVAL BY CROSS RECURRENCE QUANTIFICATION AND UNSUPERVISED SET DETECTION

by Joan Serrà, Massimiliano Zanin, Ralph G. Andrzejak
"... This extended abstract briefly outlines our submission to the audio cover song identification task run inside the 2009 music information retrieval evaluation exchange (MIREX). We very briefly introduce cover song identification, give an overview of the submitted system, and comment on the evaluation ..."
Abstract - Cited by 3 (0 self) - Add to MetaCart
This extended abstract briefly outlines our submission to the audio cover song identification task run inside the 2009 music information retrieval evaluation exchange (MIREX). We very briefly introduce cover song identification, give an overview of the submitted system, and comment

Characterization and Exploitation of Community Structure in Cover Song Networks

by Joan Serrà A, Massimiliano Zanin B, Perfecto Herrera A, Xavier Serra A , 1108
"... The use of community detection algorithms is explored within the framework of cover song identification, i.e. the automatic detection of different audio renditions of the same underlying musical piece. Until now, this task has been posed as a typical query-by-example task, where one submits a query ..."
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The use of community detection algorithms is explored within the framework of cover song identification, i.e. the automatic detection of different audio renditions of the same underlying musical piece. Until now, this task has been posed as a typical query-by-example task, where one submits a query

COVER VERSION DETECTION FOR AUDIO MUSIC

by Chuan Cao, Ming Li
"... This paper describes our submitted system for the MIREX 2008 “Audio Cover Song Identification ” task, the goal of which is to identify the cover versions of music songs out of a large database. The introduced method is based on various similarity measurements. Chroma features, melody, and onset are ..."
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This paper describes our submitted system for the MIREX 2008 “Audio Cover Song Identification ” task, the goal of which is to identify the cover versions of music songs out of a large database. The introduced method is based on various similarity measurements. Chroma features, melody, and onset

THE 2007 LABROSA COVER SONG DETECTION SYSTEM

by Daniel P. W. Ellis, Courtenay V. Cotton
"... We describe our cover song detection system, as submitted to the MIREX 2007 Cover Song Detection evaluation. The system is developed from our 2006 MIREX system, which was the best-performing entry in last year’s evaluation. Using the new “covers80 ” dataset of 80 pairs of songs and covers, we improv ..."
Abstract - Cited by 7 (2 self) - Add to MetaCart
We describe our cover song detection system, as submitted to the MIREX 2007 Cover Song Detection evaluation. The system is developed from our 2006 MIREX system, which was the best-performing entry in last year’s evaluation. Using the new “covers80 ” dataset of 80 pairs of songs and covers, we
Results 1 - 10 of 627