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Relevant bibliographies by topics / Music information processing / Dissertations / Theses

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Dissertations / Theses on the topic 'Music information processing'

Author: Grafiati

Published: 9 March 2023

Last updated: 31 July 2025

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1

Khadkevich, Maksim. "Music signal processing for automatic extraction of harmonic and rhythmic information." Doctoral thesis, Università degli studi di Trento, 2011. https://hdl.handle.net/11572/367673.

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This thesis is concerned with the problem of automatic extraction of harmonic and rhythmic information from music audio signals using statistical framework and advanced signal processing methods. Among different research directions, automatic extraction of chords and key has always been of a great interest to Music Information Retrieval (MIR) community. Chord progressions and key information can serve as a robust mid-level representation for a variety of MIR tasks. We propose statistical approaches to automatic extraction of chord progressions using Hidden Markov Models (HMM) based framewor

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Khadkevich, Maksim. "Music signal processing for automatic extraction of harmonic and rhythmic information." Doctoral thesis, University of Trento, 2011. http://eprints-phd.biblio.unitn.it/684/1/Maksim_Khadkevich_PhD_Thesis.pdf.

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This thesis is concerned with the problem of automatic extraction of harmonic and rhythmic information from music audio signals using statistical framework and advanced signal processing methods. Among different research directions, automatic extraction of chords and key has always been of a great interest to Music Information Retrieval (MIR) community. Chord progressions and key information can serve as a robust mid-level representation for a variety of MIR tasks. We propose statistical approaches to automatic extraction of chord progressions using Hidden Markov Models (HMM) based frame

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Al-Shakarchi, Ahmad. "Scalable audio processing across heterogeneous distributed resources : an investigation into distributed audio processing for Music Information Retrieval." Thesis, Cardiff University, 2013. http://orca.cf.ac.uk/47855/.

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Audio analysis algorithms and frameworks for Music Information Retrieval (MIR) are expanding rapidly, providing new ways to discover non-trivial information from audio sources, beyond that which can be ascertained from unreliable metadata such as ID3 tags. MIR is a broad field and many aspects of the algorithms and analysis components that are used are more accurate given a larger dataset for analysis, and often require extensive computational resources. This thesis investigates if, through the use of modern distributed computing techniques, it is possible to design an MIR system that is scala

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Suyoto, Iman S. H., and ishs@ishs net. "Cross-Domain Content-Based Retrieval of Audio Music through Transcription." RMIT University. Computer Science and Information Technology, 2009. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20090527.092841.

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Research in the field of music information retrieval (MIR) is concerned with methods to effectively retrieve a piece of music based on a user's query. An important goal in MIR research is the ability to successfully retrieve music stored as recorded audio using note-based queries. In this work, we consider the searching of musical audio using symbolic queries. We first examined the effectiveness of using a relative pitch approach to represent queries and pieces. Our experimental results revealed that this technique, while effective, is optimal when the whole tune is used as a query. We th

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Byron, Timothy Patrick. "The processing of pitch and temporal information in relational memory for melodies." View thesis, 2008. http://handle.uws.edu.au:8081/1959.7/37492.

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Thesis (Ph.D.) -- University of Western Sydney, 2008.<br>A thesis submitted to the University of Western Sydney, College of Arts, School of Psychology, in fulfilment of the requirements for the degree of Doctor of Philosophy. Includes bibliographical references.

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Meinz, Elizabeth J. "Musical experience, musical knowledge and age effects on memory for music." Thesis, Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/30881.

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Montecchio, Nicola. "Alignment and Identification of Multimedia Data: Application to Music and Gesture Processing." Doctoral thesis, Università degli studi di Padova, 2012. http://hdl.handle.net/11577/3422091.

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The overwhelming availability of large multimedia collections poses increasingly challenging research problems regarding the organization of, and access to data. A general consensus has been reached in the Information Retrieval community, asserting the need for tools that move past metadata-based techniques and exploit directly the information contained in the media. At the same time, interaction with content has evolved beyond the traditional passive enjoyment paradigm, bringing forth the demand for advanced control and manipulation options. The aim of this thesis is to investigate techniq

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Sanden, Christopher, and University of Lethbridge Faculty of Arts and Science. "An empirical evaluation of computational and perceptual multi-label genre classification on music / Christopher Sanden." Thesis, Lethbridge, Alta. : University of Lethbridge, Dept. of Mathematics and Computer Science, c2010, 2010. http://hdl.handle.net/10133/2602.

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Automatic music genre classi cation is a high-level task in the eld of Music Information Retrieval (MIR). It refers to the process of automatically assigning genre labels to music for various tasks, including, but not limited to categorization, organization and browsing. This is a topic which has seen an increase in interest recently as one of the cornerstones of MIR. However, due to the subjective and ambiguous nature of music, traditional single-label classi cation is inadequate. In this thesis, we study multi-label music genre classi cation from perceptual and computational perspectives. F

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Fiebrink, Rebecca. "An exploration of feature selection as a tool for optimizing musical genre classification /." Thesis, McGill University, 2006. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=99372.

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The computer classification of musical audio can form the basis for systems that allow new ways of interacting with digital music collections. Existing music classification systems suffer, however, from inaccuracy as well as poor scalability. Feature selection is a machine-learning tool that can potentially improve both accuracy and scalability of classification. Unfortunately, there is no consensus on which feature selection algorithms are most appropriate or on how to evaluate the effectiveness of feature selection. Based on relevant literature in music information retrieval (MIR) and machin

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Bianchi, Frederick W. "The cognition of atonal pitch structures." Virtual Press, 1985. http://liblink.bsu.edu/uhtbin/catkey/438705.

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The Cognition of Atonal Pitch Structures investigated the ability of a listener to internally organize atonal pitch sequences into hierarchical structures. Based on an information processing model proposed by Deutsch and Feroe (1981), the internal organization of well processed pitch sequences will result in the formation of hierarchical structures. The more efficiently information is processed by the listener, the more organized its internal hierarchical representation in memory. Characteristic of a well organized internal hierarchy As redundancy. Each ensuing level of the hierarchical struct

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Streich, Sebastian. "Music complexity: a multi-faceted description of audio content." Doctoral thesis, Universitat Pompeu Fabra, 2007. http://hdl.handle.net/10803/7545.

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Esta tesis propone un juego de algoritmos que puede emplearse para computar estimaciones de las distintas facetas de complejidad que ofrecen señales musicales auditivas. Están enfocados en los aspectos de acústica, ritmo, timbre y tonalidad. Así pues, la complejidad musical se entiende aquí en el nivel más basto del común acuerdo entre oyentes humanos. El objetivo es obtener juicios de complejidad mediante computación automática que resulten similares al punto de vista de un oyente ingenuo. La motivación de la presente investigación es la de mejorar la interacción humana con colecciones de mús

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SIMONETTA, FEDERICO. "MUSIC INTERPRETATION ANALYSIS. A MULTIMODAL APPROACH TO SCORE-INFORMED RESYNTHESIS OF PIANO RECORDINGS." Doctoral thesis, Università degli Studi di Milano, 2022. http://hdl.handle.net/2434/918909.

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This Thesis discusses the development of technologies for the automatic resynthesis of music recordings using digital synthesizers. First, the main issue is identified in the understanding of how Music Information Processing (MIP) methods can take into consideration the influence of the acoustic context on the music performance. For this, a novel conceptual and mathematical framework named “Music Interpretation Analysis” (MIA) is presented. In the proposed framework, a distinction is made between the “performance” – the physical action of playing – and the “interpretation” – the action that

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Liljeqvist, Sandra. "Named Entity Recognition for Search Queries in the Music Domain." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-193332.

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This thesis addresses the problem of named entity recognition (NER) in music-related search queries. NER is the task of identifying keywords in text and classifying them into predefined categories. Previous work in the field has mainly focused on longer documents of editorial texts. However, in recent years, the application of NER for queries has attracted increased attention. This task is, however, acknowledged to be challenging due to queries being short, ungrammatical and containing minimal linguistic context. The usage of NER for queries is especially useful for the implementation of natur

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Hedén, Malm Jacob, and Kyle Sinclair. "Categorisation of the Emotional Tone of Music using Neural Networks." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279342.

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Machine categorisation of the emotional content of music is an ongoing research area. Feature description and extraction for such a vague and subjective field as emotion presents a difficulty for human-designed audioprocessing. Research into machine categorisation of music based on genrehas expanded as media companies have increased their recommendation and automation efforts, but work into categorising music based on sentiment remains lacking. We took an informed experimental method towards finding a workable solution for a multimedia company, Ichigoichie, who wished to develop a generalizabl

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Presti, G. "SIGNAL TRANSFORMATIONS FOR IMPROVING INFORMATION REPRESENTATION, FEATURE EXTRACTION AND SOURCE SEPARATION." Doctoral thesis, Università degli Studi di Milano, 2017. http://hdl.handle.net/2434/470676.

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Questa tesi riguarda nuovi metodi di rappresentazione del segnale nel dominio tempo-frequenza, tali da mostrare le informazioni ricercate come dimensioni esplicite di un nuovo spazio. In particolare due trasformate sono introdotte: lo Spazio di Miscelazione Bivariato (Bivariate Mixture Space) e il Campo della Struttura Spettro-Temporale (Spectro-Temporal Structure-Field). La prima trasformata mira a evidenziare le componenti latenti di un segnale bivariato basandosi sul comportamento di ogni componente frequenziale (ad esempio a fini di separazione delle sorgenti); la seconda trasformata mira

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Sandrock, Trudie. "Multi-label feature selection with application to musical instrument recognition." Thesis, Stellenbosch : Stellenbosch University, 2013. http://hdl.handle.net/10019/11071.

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Thesis (PhD)--Stellenbosch University, 2013.<br>ENGLISH ABSTRACT: An area of data mining and statistics that is currently receiving considerable attention is the field of multi-label learning. Problems in this field are concerned with scenarios where each data case can be associated with a set of labels instead of only one. In this thesis, we review the field of multi-label learning and discuss the lack of suitable benchmark data available for evaluating multi-label algorithms. We propose a technique for simulating multi-label data, which allows good control over different data characteristics

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Oramas, Martín Sergio. "Knowledge extraction and representation learning for music recommendation and classification." Doctoral thesis, Universitat Pompeu Fabra, 2017. http://hdl.handle.net/10803/457709.

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In this thesis, we address the problems of classifying and recommending music present in large collections. We focus on the semantic enrichment of descriptions associated to musical items (e.g., artists biographies, album reviews, metadata), and the exploitation of multimodal data (e.g., text, audio, images). To this end, we first focus on the problem of linking music-related texts with online knowledge repositories and on the automated construction of music knowledge bases. Then, we show how modeling semantic information may impact musicological studies and helps to outperform purely text-bas

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Weese, Joshua L. "A convolutive model for polyphonic instrument identification and pitch detection using combined classification." Thesis, Kansas State University, 2013. http://hdl.handle.net/2097/15599.

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Master of Science<br>Department of Computing and Information Sciences<br>William H. Hsu<br>Pitch detection and instrument identification can be achieved with relatively high accuracy when considering monophonic signals in music; however, accurately classifying polyphonic signals in music remains an unsolved research problem. Pitch and instrument classification is a subset of Music Information Retrieval (MIR) and automatic music transcription, both having numerous research and real-world applications. Several areas of research are covered in this thesis, including the fast Fourier transform, on

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Hornstein, Daniel L. (Daniel Lather). "Relationships Between Selected Musical Aural Discrimination Skills and a Multivariate Measure of Intellectual Skills." Thesis, North Texas State University, 1986. https://digital.library.unt.edu/ark:/67531/metadc331803/.

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This study attempted to explore the strength and nature of relationships between specific intellectual information processing skills included in a multi-dimensional model conceived by Guilford, and measured by Meeker's Structure of Intellect - Learning Abilities Test, and specific musical aural discrimination skills as measured by Gordon's Musical Aptitude Profile. Three research questions were posed, which involved determining the strength and the nature of the relationship between MAP melodic, rhythmic, and aesthetic discrimination abilities and the intellectual information processing skills

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Fančal, Petr. "Analýza zvukové interpretace hudby metodami číslicového zpracování signálu." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2017. http://www.nusl.cz/ntk/nusl-317017.

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The aim of this master's thesis is the analysis of musical compositions from the standpoint of time resources of music. The introduction briefly describes the basic musicological terms and variables that are in direct relationship to the time resources in expressive music performance. The following part of the work is devoted to the known methods of digital signal processing, suitable for music information retrieval from audio recordings. In the practical part these methods are demonstrated on three recordings in MATLAB environment and the results were compared in terms of used agogics.

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Serrà, Julià Joan. "Identification of versions of the same musical composition by processing audio descriptions." Doctoral thesis, Universitat Pompeu Fabra, 2011. http://hdl.handle.net/10803/22674.

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This work focuses on the automatic identification of musical piece versions (alternate renditions of the same musical composition like cover songs, live recordings, remixes, etc.). In particular, we propose two core approaches for version identification: model-free and model-based ones. Furthermore, we introduce the use of post-processing strategies to improve the identification of versions. For all that we employ nonlinear signal analysis tools and concepts, complex networks, and time series models. Overall, our work brings automatic version identification to an unprecedented stage where high

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Fuentes, Magdalena. "Multi-scale computational rhythm analysis : a framework for sections, downbeats, beats, and microtiming." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLS404.

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La modélisation computationnelle du rythme a pour objet l'extraction et le traitement d’informations rythmiques à partir d’un signal audio de musique. Cela s'avère être une tâche extrêmement complexe car, pour traiter un enregistrement audio réel, il faut pouvoir gérer sa complexité acoustique et sémantique à plusieurs niveaux de représentation. Les méthodes d’analyse rythmique existantes se concentrent généralement sur l'un de ces aspects à la fois et n’exploitent pas la richesse de la structure musicale, ce qui compromet la cohérence musicale des estimations automatiques. Dans ce travail, no

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Yesiler, M. Furkan. "Data-driven musical version identification: accuracy, scalability and bias perspectives." Doctoral thesis, Universitat Pompeu Fabra, 2022. http://hdl.handle.net/10803/673264.

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This dissertation aims at developing audio-based musical version identification (VI) systems for industry-scale corpora. To employ such systems in industrial use cases, they must demonstrate high performance on large-scale corpora while not favoring certain musicians or tracks above others. Therefore, the three main aspects we address in this dissertation are accuracy, scalability, and algorithmic bias of VI systems. We propose a data-driven model that incorporates domain knowledge in its network architecture and training strategy. We then take two main directions to further improve our

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Salamon, Justin J. "Melody extraction from polyphonic music signals." Doctoral thesis, Universitat Pompeu Fabra, 2013. http://hdl.handle.net/10803/123777.

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Music was the first mass-market industry to be completely restructured by digital technology, and today we can have access to thousands of tracks stored locally on our smartphone and millions of tracks through cloud-based music services. Given the vast quantity of music at our fingertips, we now require novel ways of describing, indexing, searching and interacting with musical content. In this thesis we focus on a technology that opens the door to a wide range of such applications: automatically estimating the pitch sequence of the melody directly from the audio signal of a polyphonic music re

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Dzhambazov, Georgi. "Knowledge-based probabilistic modeling for tracking lyrics in music audio signals." Doctoral thesis, Universitat Pompeu Fabra, 2017. http://hdl.handle.net/10803/404681.

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This thesis proposes specific signal processing and machine learning methodologies for automatically aligning the lyrics of a song to its corresponding audio recording. The research carried out falls in the broader field of music information retrieval (MIR) and in this respect, we aim at improving some existing state-of-the-art methodologies, by introducing domain-specific knowledge. The goal of this work is to devise models capable of tracking in the music audio signal the sequential aspect of one particular element of lyrics - the phonemes. Music can be understood as comprising differ

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Şentürk, Sertan. "Computational analysis of audio recordings and music scores for the description and discovery of Ottoman-Turkish Makam music." Doctoral thesis, Universitat Pompeu Fabra, 2017. http://hdl.handle.net/10803/402102.

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This thesis addresses several shortcomings on the current state of the art methodologies in music information retrieval (MIR). In particular, it proposes several computational approaches to automatically analyze and describe music scores and audio recordings of Ottoman-Turkish makam music (OTMM). The main contributions of the thesis are the music corpus that has been created to carry out the research and the audio-score alignment methodology developed for the analysis of the corpus. In addition, several novel computational analysis methodologies are presented in the context of common M

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Srinivasamurthy, Ajay. "A Data-driven bayesian approach to automatic rhythm analysis of indian art music." Doctoral thesis, Universitat Pompeu Fabra, 2016. http://hdl.handle.net/10803/398986.

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Las colecciones de música son cada vez mayores y más variadas, haciendo necesarias nuevas fórmulas para su organización automática. El análisis automático del ritmo tiene como fin la extracción de información rítmica de grabaciones musicales y es una de las principales áreas de investigación en la disciplina de recuperación de la información musical (MIR por sus siglas en inglés). La dimensión rítmica de la música es específica a una cultura y por tanto su análisis requiere métodos que incluyan el contexto cultural. Las complejidades rítmicas de la música clásica de la India, una de las may

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Laurier, Cyril François. "Automatic Classification of musical mood by content-based analysis." Doctoral thesis, Universitat Pompeu Fabra, 2011. http://hdl.handle.net/10803/51582.

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In this work, we focus on automatically classifying music by mood. For this purpose, we propose computational models using information extracted from the audio signal. The foundations of such algorithms are based on techniques from signal processing, machine learning and information retrieval. First, by studying the tagging behavior of a music social network, we find a model to represent mood. Then, we propose a method for automatic music mood classification. We analyze the contributions of audio descriptors and how their values are related to the observed mood. We also propose a multimodal ve

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Pires, André Salim. "Métodos de segmentação musical baseados em descritores sonoros." Universidade de São Paulo, 2011. http://www.teses.usp.br/teses/disponiveis/45/45134/tde-14082011-204700/.

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Esta dissertação apresenta um estudo comparativo de diferentes métodos computacionais de segmentação estrutural musical, onde o principal objetivo é delimitar fronteiras de seções musicais em um sinal de áudio, e rotulá-las, i.e. agrupar as seções encontradas que correspondem a uma mesma parte musical. São apresentadas novas propostas para segmentação estrutural nãosupervisionada, incluindo métodos para processamento em tempo real, alcançando resultados com taxas de erro inferiores a 12%. O método utilizado compreende um estudo dos descritores sonoros e meios de modelá-los temporalmente, uma e

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Ewert, Sebastian [Verfasser]. "Signal Processing Methods for Music Synchronization, Audio Matching, and Source Separation / Sebastian Ewert." Bonn : Universitäts- und Landesbibliothek Bonn, 2012. http://d-nb.info/1044867760/34.

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Uren, Grethe Rachelle. "Die invloed van geskikte agtergrondmusiek op die studie -oriëntasie en prestasie van graad 8-leerders in wiskunde / Grethe Rachelle Uren." Thesis, North-West University, 2009. http://hdl.handle.net/10394/4325.

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Louboutin, Corentin. "Modélisation multi-échelle et multi-dimensionnelle de la structure musicale par graphes polytopiques." Thesis, Rennes 1, 2019. http://www.theses.fr/2019REN1S012/document.

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Il est raisonnable de considérer qu'un auditeur ne perçoit pas la musique comme une simple séquence de sons, pas plus que le compositeur n'a conçu son morceau comme tel. La musique est en effet constituée de motifs dont l'organisation intrinsèque et les relations mutuelles participent à la structuration du propos musical, et ce à plusieurs échelles simultanément. Cependant, il est aujourd'hui encore très difficile de définir précisément le terme de concept musicale. L'un des principaux aspects de la musique est qu'elle est en grande partie constituée de redondances, sous forme de répétitions e

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Bayle, Yann. "Apprentissage automatique de caractéristiques audio : application à la génération de listes de lecture thématiques." Thesis, Bordeaux, 2018. http://www.theses.fr/2018BORD0087/document.

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Ce mémoire de thèse de doctorat présente, discute et propose des outils de fouille automatique de mégadonnées dans un contexte de classification supervisée musical.L'application principale concerne la classification automatique des thèmes musicaux afin de générer des listes de lecture thématiques.Le premier chapitre introduit les différents contextes et concepts autour des mégadonnées musicales et de leur consommation.Le deuxième chapitre s'attelle à la description des bases de données musicales existantes dans le cadre d'expériences académiques d'analyse audio.Ce chapitre introduit notamment

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Zapata, González José Ricardo. "Comparative evaluation and combination of automatic rhythm description systems." Doctoral thesis, Universitat Pompeu Fabra, 2013. http://hdl.handle.net/10803/123822.

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The automatic analysis of musical rhythm from audio, and more specifically tempo and beat tracking, is one of the fundamental open research problems in Music Information Retrieval (MIR) research. Automatic beat tracking is a valuable tool for the solution of other MIR problems, as it enables beat- synchronous analysis of different music tasks. Even though automatic rhythm description is a relatively mature research topic in MIR tempo estimation and beat tracking remain an unsolved problem. We describe a new method for the extraction of beat times with a confidence value from music audio, b

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Vercellesi, G. "Digital Audio Processing in MP3 Compressed Domain and Evaluation of Perceived Audio Quality." Doctoral thesis, Università degli Studi di Milano, 2006. http://hdl.handle.net/2434/36412.

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The state of the art provides several digital audio signal processing in uncompressed domain (PCM Pulse Code Modulation). We can found several works in the literature which explain different methods to modify an audio signal both in the time and in the frequency domain, in order to normalize the intensity, or to apply filters, special effects and so on. Currently the MP3 format has not been deeply considered by literature. The most meaningfully works are related to MP1 and MP2 formats. There is not a exhaustive formalization of the digital audio signal processing in the MP3 compressed do

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Meseguer, Brocal Gabriel. "Multimodal analysis : informed content estimation and audio source separation." Electronic Thesis or Diss., Sorbonne université, 2020. http://www.theses.fr/2020SORUS111.

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Cette thèse propose l'étude de l'apprentissage multimodal dans le contexte de signaux musicaux. Tout au long de ce manuscrit, nous nous concentrerons sur l'interaction entre les signaux audio et les informations textuelles. Parmi les nombreuses sources de texte liées à la musique qui peuvent être utilisées (par exemple les critiques, les métadonnées ou les commentaires des réseaux sociaux), nous nous concentrerons sur les paroles. La voix chantée relie directement le signal audio et les informations textuelles d'une manière unique, combinant mélodie et paroles où une dimension linguistique com

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FONTANA, Federico. "Physics-based models for the acoustic representation of space in virtual environments." Doctoral thesis, Università degli Studi di Verona, 2003. http://hdl.handle.net/11562/342240.

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In questo lavoro sono state affrontate alcune questioni inserite nel tema più generale della rappresentazione di scene e ambienti virtuali in contesti d’interazione uomo-macchina, nei quali la modalità acustica costituisca parte integrante o prevalente dell’informazione complessiva trasmessa dalla macchina all’utilizzatore attraverso un’interfaccia personale multimodale oppure monomodale acustica. Più precisamente è stato preso in esame il problema di come presentare il messaggio audio, in modo tale che lo stesso messaggio fornisca all’utilizzatore un’informazione quanto più precisa e utilizza

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Nascimento, Sergio Roberto Vital do. "Geoprocessamento aplicado a gest?o de informa??es territoriais do munic?pio de Grossos-RN :estudo multitemporal do uso e ocupa??o do solo." Universidade Federal do Rio Grande do Norte, 2004. http://repositorio.ufrn.br:8080/jspui/handle/123456789/16787.

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Made available in DSpace on 2014-12-17T15:19:58Z (GMT). No. of bitstreams: 1 SergioRVN.pdf: 3914529 bytes, checksum: f675e6634445ab12c769726f659a0a55 (MD5) Previous issue date: 2004-04-30<br>Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior<br>The present work was carried through in the Grossos city - RN and had as main objectives the elaboration of an physicist-ambient, socioeconomic survey and execution a multisecular evaluation of 11 years, between 1986 and 1996, using remote sensing products, to evaluate the modifications of the land use, aiming at the generation of an informa

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Te?dulo, Jos? M?cio Ramalho. "Uso de t?cnicas de Geoprocessamento e Sensoriamento Remoto no levantamento e integra??o de dados necess?rios a gest?o ambiental dos campos de extra??o de ?leo e g?s do Canto do Amaro e Alto da Pedra no munic?pio de Mossor? - RN." Universidade Federal do Rio Grande do Norte, 2004. http://repositorio.ufrn.br:8080/jspui/handle/123456789/16788.

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Made available in DSpace on 2014-12-17T15:19:59Z (GMT). No. of bitstreams: 1 JoseMRT.pdf: 3261760 bytes, checksum: 0a9e4ce701fa9ce62cb02438a86e4461 (MD5) Previous issue date: 2004-04-28<br>Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior<br>The objective of this work is to identify, to chart and to explain the evolution of the soil occupation and the envirionment vulnerability of the areas of Canto do Amaro and Alto da Pedra, in the city of Mossor?-RN, having as base analyzes it multiweather of images of orbital remote sensors, the accomplishment of extensive integrated works of f

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Mallangi, Siva Sai Reddy. "Low-Power Policies Based on DVFS for the MUSEIC v2 System-on-Chip." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229443.

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Multi functional health monitoring wearable devices are quite prominent these days. Usually these devices are battery-operated and consequently are limited by their battery life (from few hours to a few weeks depending on the application). Of late, it was realized that these devices, which are currently being operated at fixed voltage and frequency, are capable of operating at multiple voltages and frequencies. By switching these voltages and frequencies to lower values based upon power requirements, these devices can achieve tremendous benefits in the form of energy savings. Dynamic Voltage a

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Hong, Wei-Hung, and 洪暐桓. "Perceptual Signal Processing for Robust Bayesian Music Information Retrieval and Analysis." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/46729319423158682600.

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碩士<br>國立交通大學<br>工學院聲音與音樂創意科技碩士學位學程<br>101<br>In this thesis, we attempt to propound an analysis procedures of robust music information retrieval (MIR) systems. In order to increase the ability to describe the information of music, we take account of three perceptual phenomenon including auditory physiology, psychoacoustic and music expectation. Furthermore, we use Bayesian statistics to automatic learning the content parameter in the model. In this way, we can begin by setting the initial probability distribution of parameter according to music theory, then fitting to proper distribution in li

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Byron, Timothy P., University of Western Sydney, College of Arts, and School of Psychology. "The processing of pitch and temporal information in relational memory for melodies." 2008. http://handle.uws.edu.au:8081/1959.7/37492.

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A series of experiments investigate the roles of relational coding and expectancy in memory for melodies. The focus on memory for melodies was motivated by an argument that research on the evolutionary psychology of music cognition would be improved by further research in this area. Melody length and the use of transposition were identified in a literature review as experimental variables with the potential to shed light on the cognitive mechanisms in memory for melodies; similarly, pitch interval magnitude (PIM), melodic contour, metre, and pulse were identified as musical attributes that app

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Byron, Timothy P. "The processing of pitch and temporal information in relational memory for melodies." Thesis, 2008. http://handle.uws.edu.au:8081/1959.7/37492.

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A series of experiments investigate the roles of relational coding and expectancy in memory for melodies. The focus on memory for melodies was motivated by an argument that research on the evolutionary psychology of music cognition would be improved by further research in this area. Melody length and the use of transposition were identified in a literature review as experimental variables with the potential to shed light on the cognitive mechanisms in memory for melodies; similarly, pitch interval magnitude (PIM), melodic contour, metre, and pulse were identified as musical attributes that app

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"Stream segregation and pattern matching techniques for polyphonic music databases." 2003. http://library.cuhk.edu.hk/record=b5891706.

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Szeto, Wai Man.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 2003.<br>Includes bibliographical references (leaves 81-86).<br>Abstracts in English and Chinese.<br>Abstract --- p.ii<br>Acknowledgements --- p.vi<br>Chapter 1 --- Introduction --- p.1<br>Chapter 1.1 --- Motivations and Aims --- p.1<br>Chapter 1.2 --- Thesis Organization --- p.6<br>Chapter 2 --- Preliminaries --- p.7<br>Chapter 2.1 --- Fundamentals of Music and Terminology --- p.7<br>Chapter 2.2 --- Findings in Auditory Psychology --- p.8<br>Chapter 3 --- Literature Review --- p.12<br>Chapter 3.1 --- Pattern Matchi

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Kun-Chih, Shih, and 施昆志. "An creative and interactive multimedia system for playing comfortable music in general spaces based on computer vision and image processing technique, and combined analyses of color, psychology, and music information." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/r4366v.

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碩士<br>南台科技大學<br>多媒體與電腦娛樂科學研究所<br>94<br>Systems based on computer vision and image processing are widely developed in scientific and medical applications. On the other hand, integrated analyses of color, psychology, music, and showing ways of multimedia are useful and helpful in life entertainments. Association of the two fields becomes more and more popular in recent years, and it will be a trend in the future. This motivates us to design a creative and interactive multimedia system that can recognize and capture the color information of one’s wearing when one enters a space. After the color r

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Rosão, Carlos Manuel Tadeia. "Onset detection in music signals." Master's thesis, 2012. http://hdl.handle.net/10071/5991.

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A Detec c~ao de Onsets, ou seja, a tarefa que procura encontrar o momento de in cio de notas musicais num sinal de audio, tem sido uma area de investiga c~ao activa, uma vez que a Detec c~ao de Onsets e comummente utilizada como primeiro passo em tarefas de alto-n vel de processamento musical. Tendo em conta a necessidade de saber que m etodo de Detec c~ao de Onsets e mais adequado a cada tarefa de alto-n vel, nesta tese foram seguidas duas abordagens que visam, acima de tudo, obter uma informa c~ao mais completa sobre cada m etodo de Detec c~ao de Onsets. A primeira abordagem c

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