Classification of EMI discharge sources using time–frequency features and multi-class support vector machine

This paper introduces the first application of feature extraction and machine learning to Electromagnetic Interference (EMI) signals for discharge sources classification in high voltage power generating plants. This work presents an investigation on signals that represent different discharge sources, which are measured using EMI techniques from operating electrical machines within power plant. The analysis involves Time-Frequency image calculation of EMI signals using General Linear Chirplet Analysis (GLCT) which reveals both time and frequency varying characteristics. Histograms of uniform Local Binary Patterns (LBP) are implemented as a feature reduction and extraction technique for the classification of discharge sources using Multi-Class Support Vector Machine (MCSVM). The novelty that this paper introduces is the combination of GLCT and LBP applications to develop a new feature extraction algorithm applied to EMI signals classification. The proposed algorithm is demonstrated to be successful with excellent classification accuracy being achieved. For the first time, this work transfers expert's knowledge on EMI faults to an intelligent system which could potentially be exploited to develop an automatic condition monitoring system

Pitch organization and texture in the free organ preludes of Dietrich Buxtehude

Since the late seventeenth century, Dietrich Buxtehude (1637-1707) has been acknowledged as one of the great organists and composers of the North German tradition. Nowadays, his free organ preludes are considered both as examples of the Stylus Phantasticus, and also as the repertoire in which he developed most of his innovations. My goal is to analyze these works, interpreting the preludes' pitch and textural organization in terms of seventeenth-century music theory, in order to incorporate an awareness of the organist's perspective, and to further the appreciation of Buxtehude's contributions to the organ tradition of his time. Most of the analyses of the preludes written during the past 34 years have focused on explicating their texture, and pitch organization in terms of eighteenth-century tonality as well as the seventeenth-century tradition of musical rhetoric. In contrast, William Porter (1986) and Geoffrey Webber (2007) have analyzed the preludes in terms of a theoretical system contemporary to Buxtehude: the psalm-tone tonalities. Their analyses also draw on Harold Powers's theory (1981) regarding the transition from psalm tones to keys, which proposes an alternative system of church tones based on the organ practice of the early seventeenth century. In my analysis of Buxtehude's free organ preludes I aim to build on these insights and study the musical content in contemporary terms, by integrating a church-tone analysis of the pitch organization with a rhetorical analysis of the texture. My findings suggest an awareness of the church tones as an organizing factor in the preludes' compositional process

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

Audio feature engineering for occupancy and activity estimation in smart buildings

The occupancy and activity estimation are fields that have been severally researched in the past few years. However, the different techniques used include a mixture of atmospheric features such as humidity and temperature, many devices such as cameras and audio sensors, or they are limited to speech recognition. In this work is proposed that the occupancy and activity can be estimated only from the audio information using an automatic approach of audio feature engineering to extract, analyze and select descriptors/variables. This scheme of extraction of audio descriptors is used to determine the occupation and activity in specific smart environments, such that our approach can differentiate between academic, administrative or commercial environments. Our approach from the audio feature engineering is compared to previous similar works on occupancy estimation and/or activity estimation in smart buildings (most of them including other features, such as atmospherics and visuals). In general, the results obtained are very encouraging compared to previous studies.European Commissio