Forming a Sonic Identity through the Integration of Transculturality and Technology

This paper investigates the ways in which new sonic identities begin to emerge through a dialogue between cultures, artistic disciplines and technology. Musicians worldwide commonly shape their identity and forms of musical expression through the lens of the environment they grow up in. Ideas about desirable sonic aesthetics vary drastically across musical traditions and cultures globally. Whilst one musician may strive for a sound that is clear, pure and unaltered, another may strive for a distorted, inharmonic sound, for example. The article examines what happens when a musician from a given sonic tradition is exposed to and interacts with a diversely different approach to producing sound. It puts forward the case of an Australian double bass player with a long immersion into Tanzanian musical culture, carving out a personal approach to double bass playing via a synthesis of traditional western techniques, extended techniques influenced by Tanzanian sonic aesthetics, as well as mechanical preparations and electronic augmentation of the instrument. The combination of these diverse elements allows for the emergence of a distinctive sonic identity, illustrated by excerpts from three pieces composed and performed within this specific aesthetic framework. The article’s discussion on sonic identity formation holds relevance as an example case of artistic creation within the current globalised context, where finding the distinct quality of one’s expression needs to be negotiated through layers of transcultural and technological elements

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

Music in Health and Diseases

It is well recognized that music is a unique and cost-effective solution for the rehabilitation of patients with cognitive deficits. However, music can also be used as a non-invasive and non-pharmacological intervention modality not only for the management of various disease conditions but also for maintaining good health overall. Music-based therapeutic strategies can be used as complementary methods to existing diagnostic approaches to manage cognitive deficits as well as clinical and physiological abnormalities of individuals in need. This book focuses on various aspects of music and its role in enhancing health and recovering from a disease. Chapters explore music as a healing method across civilizations and measure the effect of music on human physiology and functions

Bridging two worlds: baroque violin performance practices as a model for the transcription of selected movements of J.S. Bach's sonatas and partitas for solo violin on the modern guitar

This document explores the role of the baroque violin practices of bowing, chord playing, and slurring in arrangements for the modern guitar, of selected movements of J. S. Bach’s Sonatas and Partitas (BWV 1001-1006) for solo violin. This document aims to expand the range of possible solutions for all guitarists interested in playing Bach’s unaccompanied solo music by making a “bridge” between these essential performance practices of the baroque violin and the capabilities of the modern guitar. Some practices associated with other baroque instruments such as the lute and the harpsichord are also considered. The guitar arrangements included at the end of the document were conceived taking into account techniques that were intrinsic to Bach’s conception of these violin pieces as violin music. As a consequence, the musical content has a primary position in the final product. The methodology is primarily based on the study of the bowing practices, and the slurring practices of the baroque violin (both of them essential aspects of the technique of the instrument) and their realization in terms of modern classical guitar technique. These elements of violin technique are the structural pillars of the proposed bridge. Secondary to them, the way chords are played on the baroque violin and how it can promote ease of playing and good voice leading in the guitar arrangements is also part of the methodology. The rationale that represents the “bridge” is first presented and then compared to other approaches found in various published editions of Bach’s violin music arranged for the modern guitar

Surface Electromyography for Direct Vocal Control

This paper introduces a new method for direct control using the voice via measurement of vocal muscular activation with surface electromyography (sEMG). Digital musical interfaces based on the voice have typically used indirect control, in which features extracted from audio signals control the parameters of sound generation, for example in audio to MIDI controllers. By contrast, focusing on the musculature of the singing voice allows direct muscular control, or alternatively, combined direct and indirect control in an augmented vocal instrument. In this way we aim to both preserve the intimate relationship a vocalist has with their instrument and key timbral and stylistic characteristics of the voice while expanding its sonic capabilities. This paper discusses other digital instruments which effectively utilise a combination of indirect and direct control as well as a history of controllers involving the voice. Subsequently, a new method of direct control from physiological aspects of singing through sEMG and its capabilities are discussed. Future developments of the system are further outlined along with usage in performance studies, interactive live vocal performance, and educational and practice tools

Triple Synthesis

This thesis investigates the result of merging three musical approaches (jazz fusion, breakbeat/IDM and Electronic Dance Music) and their respective methodologies as applied to music composition. It is presented in a progressive manner. Chapters two to four identify and discuss each of the three styles separately in terms of the research undertaken in the preparation of this thesis. Chapter 2 discusses, through a close examination of selected compositions and recordings, both Weather Report and Herbie Hancock as representing source material for research and compositional study in terms of melody, harmony and orchestration from the 1970s jazz-fusion genre. Chapter 3 examines breakbeat and Intelligent Dance Music (IDM) drum rhythm programming through both technique and musical application. Chapter 4 presents an examination of selected contemporary Electronic Dance Music (EDM) techniques and discusses their importance in current electronic music styles. Chapters 5, 6 and 7 each present an original composition based on the application and synthesis of the styles and techniques explored in the previous three chapters, with each composition defined by proportions of influence from each of the three styles as in the Venn diagram shown in the introduction. Since the musical context of the original compositions is software oriented, diagrams and computer screenshots are used in addition to conventional score notation in order to highlight details of musical examples and techniques. The final chapter discusses the conclusions made through the thesis research and result of this “synthesis” style of composition

Finding Music in Chaos: Designing and Composing with Virtual Instruments Inspired by Chaotic Equations

Using chaos theory to design novel audio synthesis engines has been explored little in computer music. This could be because of the difficulty of obtaining harmonic tones or the likelihood of chaos-based synthesis engines to explode, which then requires re-instantiating of the engine to proceed with sound production. This process is not desirable when composing because of the time wasted fixing the synthesis engine instead of the composer being able to focus completely on the creative aspects of composition. One way to remedy these issues is to connect chaotic equations to individual parts of the synthesis engine instead of relying on the chaos as the primary source of all sound-producing procedures. To do this, one can create a physically-based synthesis model and connect chaotic equations to individual parts of the model. The goal of this project is to design a physically-inspired virtual instrument based on a conceptual percussion instrument model that utilizes chaos theory in the synthesis engine to explore novel sounds in a reliable and repeatable way for other composers and performers to use. This project presents a two-movement composition utilizing these concepts and a modular set of virtual instruments that can be used by anyone, which can be interacted with by a new electronic music controller called the Hexapad controller and standard MIDI controllers. The physically-inspired instrument created for the Hexapad controller is called the Ambi-Drum and standard MIDI controllers are used to control synthesis parameters and other virtual instruments

Space and Voice: Compositions for Contemporary Cello

This dissertation contains a diverse portfolio of ensemble and solo compositions for contemporary cello. Throughout the accompanying paper, the concepts space and voice are utilized as analytical lenses, as they are central to my compositional approach. The evolution of cello space in Western art music is contrasted with cello space in jazz, and the modes of sound production in the classical cello tradition are compared to the voice of the jazz cello. While examining jazz cello voice, the notion of idiomatic improvisation is considered and the paper turns to original research regarding the recordings of Harry Babasin, Oscar Pettiford, and Fred Katz, who introduced the cello as an improvising instrument to the jazz genre. The remainder of the written component focuses on my composition process and aesthetic considerations. Composition and improvisation are treated as distinct but interrelated points along a continuum of creative music practice. Within the composition process, improvisation is used to generate musical materials, and various methods of structuring pieces to incorporate improvisation are employed. Commentaries on the composition process, including the salient features pertaining to space and voice, are included for each score

Music Information Retrieval Meets Music Education

This paper addresses the use of Music Information Retrieval (MIR) techniques in music education and their integration in learning software. A general overview of systems that are either commercially available or in research stage is presented. Furthermore, three well-known MIR methods used in music learning systems and their state-of-the-art are described: music transcription, solo and accompaniment track creation, and generation of performance instructions. As a representative example of a music learning system developed within the MIR community, the Songs2See software is outlined. Finally, challenges and directions for future research are described

Comparison of Solo Music for the Western Lute and Chinese Pipa

This thesis is a comparison between the Western lute and Chinese pipa in terms of their history, construction, playing techniques, and examples of their solo repertory. This thesis has six chapters in total. The first chapter is an introduction to the Western lute, including the aspects of its history and playing techniques. The second chapter considers the same aspects of the Chinese pipa. The third, fourth and fifth chapters are descriptions of three solo pieces for these instruments: Luis de Milán’s Fantasia XII del tercero quarto tono as a solo piece for lute, and then the contrasting Ambushed from Ten Sides and Moonlit River in Spring for pipa. The last chapter is a comparison between Milán’s Fantasia XII and the two Chinese works, demonstrating how each is an example of its culture and that there are similarities and differences in the way that the composers of each approached various musical elements