Polyphonic or multiple music instrument detection is a difficult problem compared to detecting single or solo instruments in an audio recording. As music is time series data it be can modelled using sequence learning methods within deep learning. Recently, temporal convolutional networks (TCN) have shown to outperform conventional recurrent neural networks (RNN) on various sequence modelling tasks. Though there have been significant improvements in deep learning methods, data scarcity becomes a problem in training large scale models. Weakly labelled data is an alternative where a clip is annotated for presence or absence of instruments without specifying the times at which an instrument is sounding. This study investigates how TCN model compares to a Long Short-Term Memory (LSTM) model while trained on weakly labelled dataset. The results showed successful training of both models along with generalisation on a separate dataset. The comparison showed that TCN performed better than LSTM, but only marginally. Therefore, from the experiments carried out it could not be explicitly concluded if TCN is convincingly a better choice over LSTM in the context of instrument detection, but definitely a strong alternative. / Polyfonisk eller multipel musikinstrumentdetektering är ett svårt problem jämfört med att detektera enstaka eller soloinstrument i en ljudinspelning. Eftersom musik är tidsseriedata kan den modelleras med hjälp av sekvensinlärningsmetoder inom djup inlärning. Nyligen har ’Temporal Convolutional Network’ (TCN) visat sig överträffa konventionella ’Recurrent Neural Network’ (RNN) på flertalet sekvensmodelleringsuppgifter. Även om det har skett betydande förbättringar i metoder för djup inlärning, blir dataknapphet ett problem vid utbildning av storskaliga modeller. Svagt märkta data är ett alternativ där ett klipp kommenteras för närvaro av frånvaro av instrument utan att ange de tidpunkter då ett instrument låter. Denna studie undersöker hur TCN-modellen jämförs med en ’Long Short-Term Memory’ (LSTM) -modell medan den tränas i svagt märkta datasätt. Resultaten visade framgångsrik utbildning av båda modellerna tillsammans med generalisering i en separat datasats. Jämförelsen visade att TCN presterade bättre än LSTM, men endast marginellt. Därför kan man från de genomförda experimenten inte uttryckligen dra slutsatsen om TCN övertygande är ett bättre val jämfört med LSTM i samband med instrumentdetektering, men definitivt ett starkt alternativ.

The musical culture of the female monastic institution called La Concezione, or il monastero nuovo, reflected the political, social and devotional objectives of the Medici court. In 1562, at the close of the Council of Trent, the convent was founded through the last testament of Grand Duchess Eleonora de Toledo de'Medici with the support of Grand Duke Cosimo I's personal knighthood-- the Cavalieri di Santo Stefano. Glorified as a "reformed" institution reflecting the piety of Florence and the rectitude of the Medici family, the public image of the convent required strict adherence to Catholic Reformation ideals of female virtue. Musically, the women of the convent restricted their public performance to monophonic chant. The only universally approved music for monastics, chant was thought to be the most appropriate form of public musical devotion for the virginal daughters of the court. In private, the patrician women perhaps enjoyed the popular polyphonic music that the vast resources of their families, the Florentine court, and their superiors, afforded them. The public image of perfection was of the utmost importance to the Medici; polyphonic performance was only allowed in the most private spaces of the cloister--away from the public eyes and ears. A counter-example to recent scholarship, this view of female monastic music is in contrast to studies that have highlighted examples of wealthy convents that actively sought opportunities for polyphonic performance as part of their public character. This dissertation relies on various extant archival documents of the convent, the Order of Santo Stefano and the Medici family in an examination of the role that music played in both the public and private spheres of the most elite convent of early modern Florence. / text

Made available in DSpace on 2016-04-25T19:21:04Z (GMT). No. of bitstreams: 1 Thiago Jose Esperandio.pdf: 788790 bytes, checksum: 7e097f3e9790dedcab101ae3aaf8850f (MD5) Previous issue date: 2010-05-19 / It intends to analyze the social history of the music, which, around XI e XII centuries, is aesthetically innovated at the same time that several social changes happen. This new music (polyphonic) is a technical variation of the Gregorian Chant (monophonic). Its evolution happens mainly in the church environment, but its relation with the clerics was not always peaceful. Because it was developed in the urban cathedrals-churches and universities, it did not totally join with the church tradition, it used to represent a deviation from the church, which, until that moment, had as its scholars centers, the monastery. This fact was enough to generate doubts about using or not this music in the churches celebrations. Although these doubts existed, they had never taken the clerics to any arbitrary actions in relation to the polyphonic music. During the XII and XIII centuries, a social stability and the church hegemony contributed for the dialog between clerics and musicians, but the actions of the temporal power against the church in the XIV century, made it look more carefully to the elements that the secular society brought to its practices in the celebrations. This is when Pope John XXII decrees the bull Docta Sanctorum Patrum prohibiting the practice of polyphonic music, mainly the one that were practiced by new schools and had secular characteristics, in churches celebration . Studying the reasons that influenced the Pope to take this action is the principal objective of this study / Tem por objetivo analisar a história social da música que, por volta dos séculos XI e XII, ganha inovações estéticas contemporâneas a uma série de mudanças sociais ocorridas no período. A nova música que surge (polifônica) é uma variação técnica do chamado Canto Gregoriano (monofônico), sua evolução se deu principalmente no âmbito clerical, mas nem sempre sua relação com a Igreja foi pacífica. Por ser uma música desenvolvida nas igrejas-catedrais urbanas e nas universidades, ela tinha elementos externos à sua tradição, representava uma ruptura com a Igreja, que, até então tinha como centro de aprendizado os mosteiros rurais. Esse fato foi suficiente para que fossem gerados questionamentos quanto à legitimidade do uso dessa nova música na liturgia, embora esses questionamentos não tivessem gerado nenhuma atitude arbitrária em relação à prática da música polifônica em ambiente religioso. Durante os séculos XII e XIII, uma certa estabilidade social e a hegemonia da Igreja colaborou para o diálogo, até que um avanço do poder temporal sobre a Igreja no século XIV a levou-a a rever com mais rigidez os elementos que a sociedade trazia para dentro de suas práticas. Foi então que uma bula do Papa João XXII (Docta Sanctorum Patrum) proibiu que a música polifônica, principalmente a que vinha de novas escolas e tinham características estéticas secularizadas fosse proibida em atos litúrgicos. Estudar os motivos que impeliram o Papa a tomar tal atitude é o objetivo principal desta pesquisa

No description available.

Music analysis and source separation have become important and allied areas of research over the last decade. Towards this, analyzing a music signal for important events such as onsets, offsets and transients are important problems. These tasks help in music source separation and transcription. Approaches in source separation too have been making great strides, but most of these techniques are aimed at Western music and fail to perform well for Indian music. The fluid style of instrumentation in Indian music requires a slightly modified approach to analysis and source separation. We propose an onset detection algorithm that is motivated by the human auditory system. This algorithm has the advantage of having a unified framework for the detection of both onsets and offsets in music signals. This onset detection algorithm is further extended to detect percussive transients. Percussive transients have sharp onsets followed closely by sharp offsets. This characteristic is exploited in the percussive transients detection algorithm. This detection does not lend itself well to the extraction of transients and hence we propose an iterative algorithm to extract all types of transients from a polyphonic music signal. The proposed iterative algorithm is both fast and accurate to extract transients of various strengths. This problem of transient extraction can be extended to the problem of harmonic/percussion sound separation(HPSS), where a music signal is separated into two streams consisting of components mainly from percussion and harmonic instruments. Many algorithms that have been proposed till date deal with HPSS for Western music. But with Indian classical/film music, a different style of instrumentation or singing is seen, including high degree of vibratos or glissando content. This requires new approaches to HPSS. We propose extensions to two existing HPSS techniques, adapting them for Indian music. In both the extensions, we retain the original framework of the algorithm, showing that it is easy to incorporate the changes needed to handle Indian music. We also propose a new HPSS algorithm that is inspired by our transient extraction technique. This algorithm can be considered a generalized extension to our transient extraction algorithm and showcases our view that HPSS can be considered as an extension to transient analysis. Even the best HPSS techniques have leakages of harmonic components into percussion and this can lead to poor performances in tasks like rhythm analysis. In order to reduce this leakage, we propose a post processing technique on the percussion stream of the HPSS algorithm. The proposed method utilizes signal stitching by exploiting a commonly used model for percussive envelopes. We also developed a vocals extraction algorithm from the harmonic stream of the HPSS algorithm. The vocals extraction follows the popular paradigm of extracting the predominant pitch followed by generation of the vocals signal corresponding to the pitch. We show that HPSS as a pre-processing technique gives an advantage in reducing the interference from percussive sources in the extraction stage. It is also shown that the performance of vocal extraction algorithms improve with the knowledge about locations of the vocal segments. This is shown with the help of an oracle to locate the vocal segments. The use of the oracle greatly reduces the interferences from other dominating sources in the extracted vocals signal.