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A Pattern Recognition Approach For Melody Track Selection In Midi Files

David Rizo, Pedro J. Ponce De León, Carlos Pérez-Sancho, Antonio Pertusa, José Manuel Iñesta Quereda
2006 Zenodo  
The goal of this work is to automatically find this melody track in a MIDI file using statistical properties of the musical content and pattern recognition techniques.  ...  They conclude that using the track name is the best criteria for selecting a melody track from a MIDI file.  ... 
doi:10.5281/zenodo.1417418 fatcat:3mlps47msjbfhdwumpgrzgn4sy

Mining Digital Music Score Collections: Melody Extraction and Genre Recognition [chapter]

Pedro J. Ponce de Leon, Jose M., David Rizo
2008 Pattern Recognition Techniques, Technology and Applications  
Our goal is to automatically find this melody track in a MIDI file using statistical properties of the musical content and pattern recognition techniques.  ...  In some of the experiments in the next section, at most one melody track per MIDI file is selected. However, a file can contain more than one melody track.  ...  A wealth of advanced pattern recognition algorithms are emerging from the interdiscipline between technologies of effective visual features and the human-brain cognition process.  ... 
doi:10.5772/6259 fatcat:z2ttbaft3ffjxpaqr7pv6rrqbq

Melody Track Selection Using Discriminative Language Model

X. WU, M. LI, H. SUO, Y. YAN
2008 IEICE transactions on information and systems  
In this letter we focus on the task of selecting the melody track from a polyphonic MIDI file.  ...  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  ...  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

Pattern Recognition Approach for Music Style Identification Using Shallow Statistical Descriptors

Pedro Ponce de Len, Jos Iesta
2007 IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)  
In the field of computer music, pattern recognition algorithms are very relevant for music information retrieval applications.  ...  One challenging task in this area is the automatic recognition of musical style, having a number of applications like indexing and selecting musical databases.  ...  The authors also wish to thank the anonymous reviewers for their valuable comments.  ... 
doi:10.1109/tsmcc.2006.876045 fatcat:67zlxcbokzf7thil4cydbiy2by

A Shallow Description Framework for Musical Style Recognition [chapter]

Pedro J. Ponce de León, Carlos Pérez-Sancho, José M. Iñesta
2004 Lecture Notes in Computer Science  
In the field of computer music, pattern recognition algorithms are very relevant for music information retrieval (MIR).  ...  In this paper, the classification of monophonic melodies of two different musical styles (jazz and classical) represented symbolically as MIDI files is studied, using different classification methods:  ...  The MIDI files are composed of several tracks, one of them being the melody track from which we actually extract our data 1 .  ... 
doi:10.1007/978-3-540-27868-9_96 fatcat:xvrgpjlkzje2npf7545ris5tza

Feature-Driven Classification Of Musical Styles

A. Buzzanca, G. Castellano, A.M. Fanelli
2009 Zenodo  
Starting from MIDI files of real-world improvisations, we extract the melody track and cut it into overlapping segments of equal length.  ...  In this paper we address the problem of musical style classification, which has a number of applications like indexing in musical databases or automatic composition systems.  ...  the MIDI file header: Midi File Type (in our case always 0 because we assume only one melodic line) Number of tracks; Number of tics; Tempo (here we deal only with melodies written in 4/4); Beats  ... 
doi:10.5281/zenodo.1061452 fatcat:ttf3xl7qdzhijkavlki4bimboq

Query by humming: Automatically building the database from music recordings

Martín Rocamora, Pablo Cancela, Alvaro Pardo
2014 Pattern Recognition Letters  
The search of a query pattern in the database is carried out combining note sequence matching and pitch time series alignment.  ...  In the light of the obtained performance (85% in the top-10), which is encouraging given the results reported to date, this can be considered a proof of concept that validates the approach.  ...  The authors would like to thank all the people that kindly recorded queries for the experiments.  ... 
doi:10.1016/j.patrec.2013.04.006 fatcat:xduvluvuwjh47ekjxekltrvdjm

Statistical Phrase Extraction and Indexing for Music Retrieval [chapter]

Atsuhiro Takasu, Teruhito Kanazawa, Jun Adachi
2003 IFIP Advances in Information and Communication Technology  
This paper proposes a method for extracting phrases from songs in MIDI format and an indexing method for music retrieval.  ...  The proposed overall method accelerates query processing in two ways, by: (1) filtering songs by sub-sequences of notes, and (2) reducing the length of sequences in DP matching by using phrases instead  ...  [6] proposed a feature space consisting of trigram patterns in melodies.  ... 
doi:10.1007/978-0-387-35660-0_34 fatcat:rysruesrtfe4pgrxbbrynlezzi

Automated composer recognition for multi-voice piano compositions using rhythmic features, n-grams and modified cortical algorithms

Nadine Hajj, Maurice Filo, Mariette Awad
2017 Complex & Intelligent Systems  
When used to classify unknown composers and capture different styles, our proposed approach achieved a recognition rate of 94.4% on a home grown database of 1197 pieces with only 0.1% of the 231,542 generated  ...  In addition, cortical algorithms (CA) are adapted to reduce the large feature set obtained as well as to efficiently identify composers in a supervised manner.  ...  any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.  ... 
doi:10.1007/s40747-017-0052-x fatcat:nb4l7lmm3bd2bj4szzzq7aidjm

A Framework For Analysis Of Music Similarity Measures

Jesper Højvang Jensen, Mads Christensen, Søren Holdt Jensen
2007 Zenodo  
Publication in the conference proceedings of EUSIPCO, Poznan, Poland, 2007  ...  Periodicity histogram (PH): A description of periodic beats [17] . Distance measure: Euclidean. Fluctuation pattern (FP): Another approach to describe periodicities in a signal.  ...  For this reason we created 112 songs of length 30 s using Microsoft Music Producer, a program for automatically creating MIDI files for background music.  ... 
doi:10.5281/zenodo.40392 fatcat:gzjagcbegrf7biwvi2akaiokbu

Music Representation for Analysis using Data Mining

Constantinos Halkiopoulos, Basilis Boutsinas
2009 Zenodo  
In this paper, we propose such a scheme for monophonic music representation as traditional data sets suitable for common data mining algorithms.  ...  Data mining techniques are good candidates for music analysis. However, a proper music representation scheme is a prerequisite for their application.  ...  Table Line midi note track no midi file id velocity · · · · · · · · · · · · · · · · · · 7706 0 1 NON 1 60 42 60 1 45 42 7707 16 · · · · · · · · · · · · · · · Table 2 : Table "melody" id direction  ... 
doi:10.5281/zenodo.5198474 fatcat:ckcuhjw3xvclrhmznkxwiicy7m

Musical Style Classification from Symbolic Data: A Two-Styles Case Study [chapter]

Pedro J. Ponce de León, José M. Iñesta
2004 Lecture Notes in Computer Science  
From MIDI files, the monophonic melody track is extracted and cut into fragments of equal length.  ...  In this paper the classification of monophonic melodies from two different musical styles (Jazz and classical) is studied using different classification methods: Bayesian classifier, a k-NN classifier,  ...  The monophonic melodies are isolated from the rest of the musical content in these MIDI files -the track number of the melody been known for each file-.  ... 
doi:10.1007/978-3-540-39900-1_15 fatcat:35ul7rkgirhfvnpftdarflidx4

Feature-Driven Recognition of Music Styles [chapter]

Pedro J. Ponce de León, José M. Iñesta
2003 Lecture Notes in Computer Science  
From MIDI files, the monophonic melody track is extracted and cut into fragments of equal length.  ...  This scheme has a number of applications like indexing and selecting musical databases or the evaluation of style-specific automatic composition systems.  ...  Acknowledgements Thanks to the Spanish CICyT project TAR, code: TIC2000-1703-CO3-02, and to the CICyT TIC2001-5057-E pattern recognition thematic network.  ... 
doi:10.1007/978-3-540-44871-6_90 fatcat:matkxhwbzjdrfm3jdp7vx6bnsy

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

B. Schuller, G. Rigoll, M. Lang
2003 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698)  
Nowadays approaches propagate the use of Dynamic Time Warping for the matching process. As reference mostly midi-data or humming itself is used.  ...  The key-melody in a song can be regarded as the major characteristic in music and leads to a query by humming or singing.  ...  On the other hand the correct monophonic melody line has to be extracted. Most actual approaches deal with the recognition of hummed melodies matching midi data or humming itself.  ... 
doi:10.1109/icme.2003.1221716 dblp:conf/icmcs/SchullerRL03a fatcat:hbbc3xxksfcnveg4uigjcqwov4

Style recognition through statistical event models

Carlos Pérez-Sancho, José M. Iñesta, Jorge Calera-Rubio
2005 Journal of New Music Research  
In this paper, different statistical text recognition algorithms are applied to style recognition using this kind of melody representation, exploring and comparing their performance for different word  ...  The key point here is to establish something in music equivalent to the words in texts. A number of works use the combination of intervals and duration ratios for this purpose.  ...  The corpus is made up of a total of 110 MIDI files, 45 of them being classical music and 65 being jazz music. Each MIDI file contains a monophonic sequence written in the 4/4 meter.  ... 
doi:10.1080/09298210600578113 fatcat:ymjfu7mqabhu7ctr57p56bfbeu
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