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A Polyphonic Music Retrieval System Using N-Grams

Shyamala Doraisamy, Stefan M. Rüger
2004 Zenodo  
We introduced a method to obtain n-grams from polyphonic music using the pitch and rhythm dimensions of music, and through a series of experimentation, the robustness of musical n-grams with polyphonic  ...  N -gramming strategies Several problems had been identified in the use of n-grams with polyphonic music retrieval. These problems and solutions were tested.  ... 
doi:10.5281/zenodo.1417961 fatcat:jnpbgegmfncuhm7wija3kheh2e

Polyphonic music retrieval

Shyamala Doraisamy
2005 SIGIR Forum  
This Music Information Retrieval (MIR) study investigates the use of n-grams and textual Information Retrieval (IR) approaches for the retrieval and access of polyphonic music data.  ...  With music retrieval, the use of n-grams has largely been confined to monophonic musical sequences.  ...  of n-grams for polyphonic music retrieval.  ... 
doi:10.1145/1067268.1067289 fatcat:6kh6aflmnjgvlnr2zwtpn32oxi

A Comparative And Fault-Tolerance Study Of The Use Of N-Grams With Polyphonic Music

Shyamala Doraisamy, Stefan M. Rüger
2002 Zenodo  
We aim to study the querying of a database of polyphonic pieces with a monophonic music sequence using the n-gram approach to full-music indexing.  ...  CONCLUSIONS This study shows that full-music indexing of a polyphonic music collection using the n-gram approach is promising.  ... 
doi:10.5281/zenodo.1416022 fatcat:wcchazgv2bfjbnc4emntdzptaq

An Approach Towards A Polyphonic Music Retrieval System

Shyamala Doraisamy
2001 Zenodo  
The n-grams encoded as musical words using text representations would be used in indexing, searching and retrieving a set of sequences from a polyphonic music data collection.  ...  The results clearly indicate that using n-grams with polyphonic music retrieval is a promising approach with the best retrieval measure 0.95 being obtained by musical words of the PR4 format and a query  ... 
doi:10.5281/zenodo.1415621 fatcat:z3xpo4m5nbfdtawo2bdkng7twi

Statistical Modeling and Retrieval of Polyphonic Music

Erdem Unal, Panayiotis G. Georgiou, Shrikanth S. Narayanan, Elaine Chew
2007 2007 IEEE 9th Workshop on Multimedia Signal Processing  
After performing appropriate smoothing, we build a collection of melodic n-gram models for testing.  ...  In this article, we propose a solution to the problem of query by example for polyphonic music audio. We first present a generic mid-level representation for audio queries.  ...  We use n-grams to statistically deduce information of the harmonic behavior of polyphonic melodies.  ... 
doi:10.1109/mmsp.2007.4412902 dblp:conf/mmsp/UnalGNC07 fatcat:q53jialednf6jfzwvwly33zpci

Recognition of phonemes and words in singing

Annamaria Mesaros, Tuomas Virtanen
2010 2010 IEEE International Conference on Acoustics, Speech and Signal Processing  
We study the use of the recognition results in a query-by-singing application. Using the recognized words, we retrieve the songs by searching for the text in a text lyrics database.  ...  For the word recognition system having only 24% correct recognition rate, the first retrieved song is correct in 57% of the test cases.  ...  CONCLUSIONS We have studied the use of n-gram language models in recognizing phonemes and words in monophonic and polyphonic music.  ... 
doi:10.1109/icassp.2010.5495585 dblp:conf/icassp/MesarosV10 fatcat:oaxjgz3upzbfljmupuz5pxqxjq

A Preplexity Based Cover Song Matching System For Short Length Queries

Erdem Unal, Elaine Chew, Panayiotis G. Georgiou, Shrikanth Narayanan
2011 Zenodo  
ACKNOWLEDGEMENTS This work was supported in part by a National Science Foundation (NSF) Grant No. 0219912, and in part by a TÜBİTAK Career Grant 3501-109E196.  ...  In contrast to the retrieval methods reported in [12 and 13] we tested our model on not only bi grams but also higher order n-grams, for n up to and including 6, and observed a major boost in the retrieval  ...  Pickens et. al [13] used existing polyphonic transcription systems in the literature to abstract note features from music audio. The transcription was then mapped to the harmonic domain.  ... 
doi:10.5281/zenodo.1415134 fatcat:l3wm3sittbdtlgkrtijmpop7uq

An architecture for effective music information retrieval

Alexandra L. Uitdenbogerd, Justin Zobel
2004 Journal of the American Society for Information Science and Technology  
We have explored methods for music information retrieval for polyphonic music stored in the MIDI format.  ...  These methods use a query, expressed as a series of notes that are intended to represent a melody or theme, to identify similar pieces.  ...  Matching techniques based on either local alignment dynamic programming or n-grams were shown to be the best at retrieving useful answers.  ... 
doi:10.1002/asi.20057 fatcat:5vvo7kxawngplemww4zmwp5mtu

The Vis Framework: Analyzing Counterpoint In Large Datasets

Christopher Antila, Julie Cumming
2014 Zenodo  
Our n-gram notation system is easily intelligible to music theorists and musicologists, and allows us to stay close to musicology.  ...  Previous Uses of n-Grams in MIR We have chosen to map musical patterns with n-grams partly because of their previous use in natural language processing. 4 Some previous uses of n-grams in music analysis  ... 
doi:10.5281/zenodo.1417767 fatcat:keze5nfwi5cnpgizy77lgqp734

Melody Track Selection Using Discriminative Language Model

X. WU, M. LI, H. SUO, Y. YAN
2008 IEICE transactions on information and systems  
Based on the intuition that music and language are similar in many aspects, we solve the selection problem by introducing an n-gram language model to learn the melody co-occurren patterns in a statistical  ...  In this letter we focus on the task of selecting the melody track from a polyphonic MIDI file.  ...  Introduction Determining the melody track of a given polyphonic MIDI file is a critical task for many music information retrieval applications (MIR), especially for a query-by-humming system [1] .  ... 
doi:10.1093/ietisy/e91-d.6.1838 fatcat:smbymjir3zgxbahnnwlbtoluui

Automatic Recognition of Lyrics in Singing

Annamaria Mesaros, Tuomas Virtanen
2010 EURASIP Journal on Audio, Speech, and Music Processing  
The system is targeted to both monophonic singing and singing in polyphonic music. A vocal separation algorithm is applied to separate the singing from polyphonic music.  ...  We test phoneme-level and word-level n-gram language models. The phoneme language models are trained on the speech database text.  ...  An n-gram of size one is referred to as a unigram; size two is a bigram; size three is a trigram, while those of higher order are referred to as n-grams.  ... 
doi:10.1155/2010/546047 fatcat:64uir6egxzgkjhdnc3gwn4qnbe

Automatic Recognition of Lyrics in Singing

Annamaria Mesaros, Tuomas Virtanen
2010 EURASIP Journal on Audio, Speech, and Music Processing  
The system is targeted to both monophonic singing and singing in polyphonic music. A vocal separation algorithm is applied to separate the singing from polyphonic music.  ...  We test phoneme-level and word-level n-gram language models. The phoneme language models are trained on the speech database text.  ...  An n-gram of size one is referred to as a unigram; size two is a bigram; size three is a trigram, while those of higher order are referred to as n-grams.  ... 
doi:10.1186/1687-4722-2010-546047 fatcat:lksnvnccivd7ziqyoe3ld2u5lm

Polyphonic Score Retrieval Using Polyphonic Audio Queries: A Harmonic Modeling Approach

Jeremy Pickens, Juan Pablo Bello, Giuliano Monti, Mark Sandler, Tim Crawford, Matthew Dovey, Don Byrd
2003 Journal of New Music Research  
This paper extends the familiar "query by humming" music retrieval framework into the polyphonic realm.  ...  To our knowledge, we are the first to use polyphonic audio queries to retrieve from polyphonic symbolic collections.  ...  Acknowledgements An earlier version of this article was presented as a paper with the same title at the ISMIR 2002 Conference, October 2002; see .  ... 
doi:10.1076/jnmr.32.2.223.16742 fatcat:i4sn2vqdrje3rge2ijk2uv47ke

Polyphonic music modeling with random fields

Victor Lavrenko, Jeremy Pickens
2003 Proceedings of the eleventh ACM international conference on Multimedia - MULTIMEDIA '03  
Recent interest in the area of music information retrieval and related technologies is exploding.  ...  In this paper we discuss an application of Random Fields to the problem of creating accurate yet flexible statistical models of polyphonic music.  ...  The latter work proceeds by mapping each simultaneity in a piece of music onto a set of 24 triads using a musically-motivated heuristic algorithm, then constructing "visible" n-gram Markov models of those  ... 
doi:10.1145/957013.957041 dblp:conf/mm/LavrenkoP03 fatcat:xl2v6gtp5fd7tm3amb76yoge2i

Polyphonic music modeling with random fields

Victor Lavrenko, Jeremy Pickens
2003 Proceedings of the eleventh ACM international conference on Multimedia - MULTIMEDIA '03  
Recent interest in the area of music information retrieval and related technologies is exploding.  ...  In this paper we discuss an application of Random Fields to the problem of creating accurate yet flexible statistical models of polyphonic music.  ...  The latter work proceeds by mapping each simultaneity in a piece of music onto a set of 24 triads using a musically-motivated heuristic algorithm, then constructing "visible" n-gram Markov models of those  ... 
doi:10.1145/957039.957041 fatcat:plwf67ztbfeyhp4324s2nrntya
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