3,505 research outputs found
Automatic classification of latin music : some experiments on musical genre classification
Estágio realizado no INESC PortoTese de mestrado integrado. Engenharia Electrotécnica e de Computadores. Faculdade de Engenharia. Universidade do Porto. 200
Automatic classification of latin music : some experiments on musical genre classification
Estágio realizado no INESC PortoTese de mestrado integrado. Engenharia Electrotécnica e de Computadores. Faculdade de Engenharia. Universidade do Porto. 200
Automatic Transcription of Bass Guitar Tracks applied for Music Genre Classification and Sound Synthesis
Musiksignale bestehen in der Regel aus einer Überlagerung mehrerer
Einzelinstrumente. Die meisten existierenden Algorithmen zur automatischen
Transkription und Analyse von Musikaufnahmen im Forschungsfeld des Music
Information Retrieval (MIR) versuchen, semantische Information direkt aus
diesen gemischten Signalen zu extrahieren. In den letzten Jahren wurde
häufig beobachtet, dass die Leistungsfähigkeit dieser Algorithmen durch
die Signalüberlagerungen und den daraus resultierenden Informationsverlust
generell limitiert ist. Ein möglicher Lösungsansatz besteht darin,
mittels Verfahren der Quellentrennung die beteiligten Instrumente vor der
Analyse klanglich zu isolieren. Die Leistungsfähigkeit dieser Algorithmen
ist zum aktuellen Stand der Technik jedoch nicht immer ausreichend, um eine
sehr gute Trennung der Einzelquellen zu ermöglichen. In dieser Arbeit
werden daher ausschließlich isolierte Instrumentalaufnahmen untersucht,
die klanglich nicht von anderen Instrumenten überlagert sind. Exemplarisch
werden anhand der elektrischen Bassgitarre auf die Klangerzeugung dieses
Instrumentes hin spezialisierte Analyse- und Klangsynthesealgorithmen
entwickelt und evaluiert.Im ersten Teil der vorliegenden Arbeit wird ein
Algorithmus vorgestellt, der eine automatische Transkription von
Bassgitarrenaufnahmen durchführt. Dabei wird das Audiosignal durch
verschiedene Klangereignisse beschrieben, welche den gespielten Noten auf
dem Instrument entsprechen. Neben den üblichen Notenparametern Anfang,
Dauer, Lautstärke und Tonhöhe werden dabei auch instrumentenspezifische
Parameter wie die verwendeten Spieltechniken sowie die Saiten- und Bundlage
auf dem Instrument automatisch extrahiert. Evaluationsexperimente anhand
zweier neu erstellter Audiodatensätze belegen, dass der vorgestellte
Transkriptionsalgorithmus auf einem Datensatz von realistischen
Bassgitarrenaufnahmen eine höhere Erkennungsgenauigkeit erreichen kann als
drei existierende Algorithmen aus dem Stand der Technik. Die Schätzung der
instrumentenspezifischen Parameter kann insbesondere für isolierte
Einzelnoten mit einer hohen Güte durchgeführt werden.Im zweiten Teil der
Arbeit wird untersucht, wie aus einer Notendarstellung typischer sich
wieder- holender Basslinien auf das Musikgenre geschlossen werden kann.
Dabei werden Audiomerkmale extrahiert, welche verschiedene tonale,
rhythmische, und strukturelle Eigenschaften von Basslinien quantitativ
beschreiben. Mit Hilfe eines neu erstellten Datensatzes von 520 typischen
Basslinien aus 13 verschiedenen Musikgenres wurden drei verschiedene
Ansätze für die automatische Genreklassifikation verglichen. Dabei zeigte
sich, dass mit Hilfe eines regelbasierten Klassifikationsverfahrens nur
Anhand der Analyse der Basslinie eines Musikstückes bereits eine mittlere
Erkennungsrate von 64,8 % erreicht werden konnte.Die Re-synthese der
originalen Bassspuren basierend auf den extrahierten Notenparametern wird
im dritten Teil der Arbeit untersucht. Dabei wird ein neuer
Audiosynthesealgorithmus vorgestellt, der basierend auf dem Prinzip des
Physical Modeling verschiedene Aspekte der für die Bassgitarre
charakteristische Klangerzeugung wie Saitenanregung, Dämpfung, Kollision
zwischen Saite und Bund sowie dem Tonabnehmerverhalten nachbildet.
Weiterhin wird ein parametrischerAudiokodierungsansatz diskutiert, der es
erlaubt, Bassgitarrenspuren nur anhand der ermittel- ten notenweisen
Parameter zu übertragen um sie auf Dekoderseite wieder zu
resynthetisieren. Die Ergebnisse mehrerer Hötest belegen, dass der
vorgeschlagene Synthesealgorithmus eine Re- Synthese von
Bassgitarrenaufnahmen mit einer besseren Klangqualität ermöglicht als die
Übertragung der Audiodaten mit existierenden Audiokodierungsverfahren, die
auf sehr geringe Bitraten ein gestellt sind.Music recordings most often consist of multiple instrument signals, which
overlap in time and frequency. In the field of Music Information Retrieval
(MIR), existing algorithms for the automatic transcription and analysis of
music recordings aim to extract semantic information from mixed audio
signals. In the last years, it was frequently observed that the algorithm
performance is limited due to the signal interference and the resulting
loss of information. One common approach to solve this problem is to first
apply source separation algorithms to isolate the present musical
instrument signals before analyzing them individually. The performance of
source separation algorithms strongly depends on the number of instruments
as well as on the amount of spectral overlap.In this thesis, isolated
instrumental tracks are analyzed in order to circumvent the challenges of
source separation. Instead, the focus is on the development of
instrument-centered signal processing algorithms for music transcription,
musical analysis, as well as sound synthesis. The electric bass guitar is
chosen as an example instrument. Its sound production principles are
closely investigated and considered in the algorithmic design.In the first
part of this thesis, an automatic music transcription algorithm for
electric bass guitar recordings will be presented. The audio signal is
interpreted as a sequence of sound events, which are described by various
parameters. In addition to the conventionally used score-level parameters
note onset, duration, loudness, and pitch, instrument-specific parameters
such as the applied instrument playing techniques and the geometric
position on the instrument fretboard will be extracted. Different
evaluation experiments confirmed that the proposed transcription algorithm
outperformed three state-of-the-art bass transcription algorithms for the
transcription of realistic bass guitar recordings. The estimation of the
instrument-level parameters works with high accuracy, in particular for
isolated note samples.In the second part of the thesis, it will be
investigated, whether the sole analysis of the bassline of a music piece
allows to automatically classify its music genre. Different score-based
audio features will be proposed that allow to quantify tonal, rhythmic, and
structural properties of basslines. Based on a novel data set of 520
bassline transcriptions from 13 different music genres, three approaches
for music genre classification were compared. A rule-based classification
system could achieve a mean class accuracy of 64.8 % by only taking
features into account that were extracted from the bassline of a music
piece.The re-synthesis of a bass guitar recordings using the previously
extracted note parameters will be studied in the third part of this thesis.
Based on the physical modeling of string instruments, a novel sound
synthesis algorithm tailored to the electric bass guitar will be presented.
The algorithm mimics different aspects of the instrument’s sound
production mechanism such as string excitement, string damping, string-fret
collision, and the influence of the electro-magnetic pickup. Furthermore, a
parametric audio coding approach will be discussed that allows to encode
and transmit bass guitar tracks with a significantly smaller bit rate than
conventional audio coding algorithms do. The results of different listening
tests confirmed that a higher perceptual quality can be achieved if the
original bass guitar recordings are encoded and re-synthesized using the
proposed parametric audio codec instead of being encoded using conventional
audio codecs at very low bit rate settings
Cubaneo In Latin Piano: A Parametric Approach To Gesture, Texture, And Motivic Variation
ABSTRACT
CUBANEO IN LATIN PIANO: A PARAMETRIC APPROACH TO GESTURE, TEXTURE, AND MOTIVIC VARIATION
COPYRIGHT
Orlando Enrique Fiol
2018
Dr. Carol A. Muller
Over the past century of recorded evidence, Cuban popular music has undergone great stylistic changes, especially regarding the piano tumbao. Hybridity in the Cuban/Latin context has taken place on different levels to varying extents involving instruments, genres, melody, harmony, rhythm, and musical structures. This hybridity has involved melding, fusing, borrowing, repurposing, adopting, adapting, and substituting. But quantifying and pinpointing these processes has been difficult because each variable or parameter embodies a history and a walking archive of sonic aesthetics. In an attempt to classify and quantify precise parameters involved in hybridity, this dissertation presents a paradigmatic model, organizing music into vocabularies, repertories, and abstract procedures.
Cuba\u27s pianistic vocabularies are used very interactively, depending on genre, composite ensemble texture, vocal timbre, performing venue, and personal taste. These vocabularies include: melodic phrases, harmonic progressions, rhythmic cells and variation schemes to replace repetition with methodical elaboration of the piano tumbao as a main theme. These pianistic vocabularies comprise what we actually hear.
Repertories, such as pre-composed songs, ensemble arrangements, and open- ended montuno and solo sections, situate and contextualize what we hear in real life musical performances.
Abstract procedures are the thoughts, aesthetics, intentions, and parametric rules governing what Cuban/Latin pianists consider possible. Abstract procedures alter vocabularies by displacing, expanding, contracting, recombining, permuting, and layering them.
As Cuba\u27s popular musics find homes in its musical diaspora (the United States, Latin America and Europe), Cuban pianists have sought to differentiate their craft from global salsa and Latin jazz pianists. Expanding the piano\u27s gestural/textural vocabulary beyond pre-Revolutionary traditions and performance practices, the timba piano tumbao is a powerful marker of Cuban identity and musical pride, transcending national borders and cultural boundaries
Computational methods for percussion music analysis : the afro-uruguayan candombe drumming as a case study
Most of the research conducted on information technologies applied to music has been largely limited to a few mainstream styles of the so-called `Western' music. The resulting tools often do not generalize properly or cannot be easily extended to other music traditions. So, culture-specific approaches have been recently proposed as a way to build richer and more general computational models for music. This thesis work aims at contributing to the computer-aided study of rhythm, with the focus on percussion music and in the search of appropriate solutions from a culture specifc perspective by considering the Afro-Uruguayan
candombe drumming as a case study. This is mainly motivated by its challenging rhythmic characteristics, troublesome for most of the existing analysis methods. In this way, it attempts to push ahead the boundaries of current music technologies. The thesis o ers an overview of the historical, social and cultural context in which candombe drumming is embedded, along with a description of the rhythm. One of the specific contributions of the thesis is the creation of annotated datasets of candombe drumming suitable for computational rhythm analysis. Performances were purposely recorded, and received annotations of metrical information, location of onsets, and sections. A dataset of annotated recordings for beat and downbeat tracking was publicly released, and an audio-visual dataset of performances was obtained, which serves both documentary and research purposes. Part of the dissertation focused on the discovery and analysis of rhythmic patterns from audio recordings. A representation in the form of a map of rhythmic patterns based on spectral features was devised. The type of analyses that can be conducted with the proposed methods is illustrated with some experiments. The dissertation also systematically approached (to the best of our knowledge, for the first time) the study and characterization of the micro-rhythmical properties of candombe drumming. The ndings suggest that micro-timing is a structural component of the rhythm, producing a sort of characteristic "swing". The rest of the dissertation was devoted to the automatic inference and tracking of the metric structure from audio recordings. A supervised Bayesian scheme for rhythmic pattern tracking was proposed, of which a software implementation was publicly released. The results give additional evidence of the generalizability of the Bayesian approach to complex rhythms from diferent music traditions. Finally, the downbeat detection task was formulated as a data compression problem. This resulted in a novel method that proved to be e ective for a large part of the dataset and opens up some interesting threads for future research.La mayoría de la investigación realizada en tecnologías de la información aplicadas a la música se ha limitado en gran medida a algunos estilos particulares de la así llamada música `occidental'. Las herramientas resultantes a menudo no generalizan adecuadamente o no se pueden extender fácilmente a otras tradiciones musicales. Por lo tanto, recientemente se han propuesto enfoques culturalmente específicos como forma de construir modelos computacionales más ricos y más generales. Esta tesis tiene como objetivo contribuir al estudio del ritmo asistido por computadora, desde una perspectiva cultural específica, considerando el candombe Afro-Uruguayo como caso de estudio. Esto está motivado principalmente por sus características rítmicas, problemáticas para la mayoría de los métodos de análisis existentes. Así , intenta superar los límites actuales de estas tecnologías. La tesis ofrece una visión general del contexto histórico, social y cultural en el que el candombe está integrado, junto con una descripción de su ritmo. Una de las contribuciones específicas de la tesis es la creación de conjuntos de datos adecuados para el análisis computacional del ritmo. Se llevaron adelante sesiones de grabación y se generaron anotaciones de información métrica, ubicación de eventos y secciones. Se disponibilizó públicamente un conjunto de grabaciones anotadas para el seguimiento de pulso e inicio de compás, y se generó un registro audiovisual que sirve tanto para fines documentales como de investigación. Parte de la tesis se centró en descubrir y analizar patrones rítmicos a partir de grabaciones de audio. Se diseñó una representación en forma de mapa de patrones rítmicos basada en características espectrales. El tipo de análisis que se puede realizar con los métodos propuestos se ilustra con algunos experimentos. La tesis también abordó de forma sistemática (y por primera vez) el estudio y la caracterización de las propiedades micro rítmicas del candombe. Los resultados sugieren que las micro desviaciones temporales son un componente estructural del ritmo, dando lugar a una especie de "swing" característico. El resto de la tesis se dedicó a la inferencia automática de la estructura métrica a partir de grabaciones de audio. Se propuso un esquema Bayesiano supervisado para el seguimiento de patrones rítmicos, del cual se disponibilizó públicamente una implementación de software. Los resultados dan evidencia adicional de la capacidad de generalización del enfoque Bayesiano a ritmos complejos. Por último, la detección de inicio de compás se formuló como un problema de compresión de datos. Esto resultó en un método novedoso que demostró ser efectivo para una buena parte de los datos y abre varias líneas de investigación
Computational analysis of world music corpora
PhDThe comparison of world music cultures has been considered in musicological
research since the end of the 19th century. Traditional methods from the
field of comparative musicology typically involve the process of manual music
annotation. While this provides expert knowledge, the manual input is timeconsuming
and limits the potential for large-scale research. This thesis considers
computational methods for the analysis and comparison of world music cultures.
In particular, Music Information Retrieval (MIR) tools are developed for processing
sound recordings, and data mining methods are considered to study
similarity relationships in world music corpora.
MIR tools have been widely used for the study of (mainly) Western music.
The first part of this thesis focuses on assessing the suitability of audio descriptors
for the study of similarity in world music corpora. An evaluation strategy
is designed to capture challenges in the automatic processing of world music
recordings and different state-of-the-art descriptors are assessed.
Following this evaluation, three approaches to audio feature extraction are
considered, each addressing a different research question. First, a study of
singing style similarity is presented. Singing is one of the most common forms
of musical expression and it has played an important role in the oral transmission
of world music. Hand-designed pitch descriptors are used to model aspects of the
singing voice and clustering methods reveal singing style similarities in world
music. Second, a study on music dissimilarity is performed. While musical
exchange is evident in the history of world music it might be possible that some
music cultures have resisted external musical influence. Low-level audio features
are combined with machine learning methods to find music examples that stand
out in a world music corpus, and geographical patterns are examined. The
last study models music similarity using descriptors learned automatically with
deep neural networks. It focuses on identifying music examples that appear to
be similar in their audio content but share no (obvious) geographical or cultural
links in their metadata. Unexpected similarities modelled in this way uncover
possible hidden links between world music cultures.
This research investigates whether automatic computational analysis can
uncover meaningful similarities between recordings of world music. Applications
derive musicological insights from one of the largest world music corpora
studied so far. Computational analysis as proposed in this thesis advances the
state-of-the-art in the study of world music and expands the knowledge and
understanding of musical exchange in the world.Queen Mary Principal’s research studentship
Automatic music genre classification
A dissertation submitted to the Faculty of Science, University of the Witwatersrand, in fulfillment of the requirements for the degree of Master of Science. 2014.No abstract provided
Sonification of Samba dance using periodic pattern analysis
In this study we focus on the sonification of
Samba dance, using a multi-modal analysis-by-synthesis
approach. In the analysis we use periodic pattern analysis to
decompose the Samba dance movements into basic
movement gestures along the music’s metric layers. In the
synthesis we start from the basic movement gestures and
extract peaks and valleys, which we use as basic material for
the sonification. This leads to a matrix of repetitive dance
gestures from which we select the proper cues that trigger
samples of a Samba ensemble. The straightforward
sonification procedure suggests that Samba rhythms may be
mirrored in choreographic forms or vice-versa
Instrumental Tango Idioms in the Symphonic Works and Orchestral Arrangements of Astor Piazzolla. Performance and Notational Problems: A Conductor\u27s Perspective
Tango performance practices and notational conventions included in the orchestral works of Astor Piazzolla belong in two groups. The first is tango performance manner, or the specific way of rendering the written musical text; and the second is tango special effects, which could be defined as a group of non-traditional (for European music) instrumental techniques specific to tango music. Both groups are part of a performance style that has been poorly systematized, if at all, and kept alive only by means of face-to-face transmission. The purpose of this dissertation is to identify and analyze the challenges that Piazzolla faced while including these performance practices into his symphonic compositions, as well as to provide the orchestral conductor with the basic elements for a successful approach to performance
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