Download or read book Topics Focus on Microstructural and Macrostructural Representations Models for Musical Signal Analysis Models for Musical Signal Synthesis Representation of Musical Signals Musical Applications Auditory Models written by and published by . This book was released on 1992 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book International Workshop on Models and Representations of Musical Signals written by and published by . This book was released on 1992 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Musical Signal Processing written by Curtis Roads and published by Routledge. This book was released on 2013-12-19 with total page 501 pages. Available in PDF, EPUB and Kindle. Book excerpt: Compiled by an international array of musical and technical specialists, this book deals with some of the most important topics in modern musical signal processing. Beginning with basic concepts, and leading to advanced applications, it covers such essential areas as sound synthesis (including detailed studies of physical modelling and granular synthesis) ,control signal synthesis, sound transformation (including convolution), analysis/resynthesis (phase vocodor, wavelets, analysis by chaotic functions), object-oriented and artificial intelligence representations, musical interfaces and the integration of signal processing techniques in concert performance.
Download or read book International Workshop on Models and Representations of Musical Signals written by International Workshop on Models and Representations of Musical Signals (1992, Capri) and published by . This book was released on 1992 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Representations of Musical Signals written by Professor of Media Arts and Technology Curtis Roads and published by Mit Press. This book was released on 1991 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: Representations of Musical Signals describes a new generation of digital audio and computer music systems made possible by recent advances in digital signal processing theory, hardware design, and programming techniques. It explores new representations of musical signals that can have profound effects on the way musicians conceive of and realize musical ideas. In particular, the book focuses on models that combine time-domain and frequency-domain representations (grains, wavelets, and physical models), visual programming and advanced user interfaces, and that incorporate musical knowledge using artificial intelligence techniques and adaptive neural networks. The 14 contributions take up issues of how musical signals should be displayed to musicians, engineers, and scientists who want to work with them, how professionals can work with the representations to accomplish musical tasks, how systems can be designed to permit working with multiple views of the same signal, and how representations of musical signals should be organized to promote efficient communication between devices using these signals. Giovanni DePoli is a member of the faculty of the Department of Informatics and Electronics at the University of Padua. Aldo Piccialli is a member of the faculty of the Department of Physics at the University of Naples. Curtis Roads is a composer and consulting editor of Computer Music Journal. Contributors: J. M. Adrien. D. Arfib. R. D'Autilia. C. Cadoz. S. Cavaliere G. De Poli, G. Evangelista. J. Florens. G. Garnett. A. Grossman. F. Guerra. K. Hebei. R. KronlandMartinet. C. Lischka. A. Piccialli. J-C. Risset. C. Roads. C. Scaletti., J. Sundberg.
Download or read book Analysis Synthesis and Perception of Musical Sounds written by James Beauchamp and published by Springer Science & Business Media. This book was released on 2007-08-30 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains a complete and accurate mathematical treatment of the sounds of music with an emphasis on musical timbre. The book spans the range from tutorial introduction to advanced research and application to speculative assessment of its various techniques. All the contributors use a generalized additive sine wave model for describing musical timbre which gives a conceptual unity, but is of sufficient utility to be adapted to many different tasks.
Download or read book Computer Music Modeling and Retrieval Sense of Sounds written by Richard Kronland-Martinet and published by Springer. This book was released on 2008-07-19 with total page 519 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Computer Music Modeling and Retrieval Symposium, CMMR 2007, held in Copenhagen, Denmark, in August 2007 jointly with the International Computer Music Conference 2007, ICMC 2007. The 33 revised full papers presented were carefully selected during two rounds of reviewing and improvement. Due to the interdisciplinary nature of the area, the papers address a broad variety of topics in computer science and engineering areas such as information retrieval, programming, human computer interaction, digital libraries, hypermedia, artificial intelligence, acoustics, signal processing, etc. CMMR 2007 has put special focus on the Sense of Sounds from the synthesis and retrieval point of view. This theme is pluridisciplinary by nature and associates the fields of sound modeling by analysis, synthesis, perception and cognition.
Download or read book Deep and Shallow written by Shlomo Dubnov and published by CRC Press. This book was released on 2023-12-08 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: Providing an essential and unique bridge between the theories of signal processing, machine learning, and artificial intelligence (AI) in music, this book provides a holistic overview of foundational ideas in music, from the physical and mathematical properties of sound to symbolic representations. Combining signals and language models in one place, this book explores how sound may be represented and manipulated by computer systems, and how our devices may come to recognize particular sonic patterns as musically meaningful or creative through the lens of information theory. Introducing popular fundamental ideas in AI at a comfortable pace, more complex discussions around implementations and implications in musical creativity are gradually incorporated as the book progresses. Each chapter is accompanied by guided programming activities designed to familiarize readers with practical implications of discussed theory, without the frustrations of free-form coding. Surveying state-of-the art methods in applications of deep neural networks to audio and sound computing, as well as offering a research perspective that suggests future challenges in music and AI research, this book appeals to both students of AI and music, as well as industry professionals in the fields of machine learning, music, and AI.
Download or read book Leveraging Generative Models for Music and Signal Processing written by John Thickstun and published by . This book was released on 2021 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generative models can serve as a powerful primitive for creative interaction with data. Generative models give us the ability to synthesize or re-synthesize multimedia; conditional generative modeling empowers us to control the outputs of these models. By steering a generative model with conditioning information, we can sketch the essential aspects of our creative vision, and the generative model will fill in the details. This dissertation explores the possibilities of generative modeling as a creative tool, with a focus on applications to music and audio. The dissertation proceeds in three parts: 1. We develop algorithms and evaluation metrics for aligning musical scores to audio. Alignments provide us with a dense set of labels on musical audio, that we can use to supervise conditional generation tasks such as transcription: synthesis of a musical score conditioned on an audio performance. This work on alignments leads to the construction of MusicNet: a collection of 330 freely-licensed classical music recordings, together with over 1 million annotated labels indicating the precise time of each note in every recording, the instrument that plays each note. We use this dataset to train state-of-the-art music transcription models for the MIREX Multiple Fundamental Frequency Estimation task. 2. We construct autoregressive generative models of musical scores, which exploit invariances in the structure of music. Whereas most recent work on music modeling has represented music as an ordered sequence of notes, we explore an alternative representation of music as a multi-dimensional tensor. We consider a variety of factorizations of the joint distribution over these tensors. We then turn to our attention to discriminative modeling of scores, using this tensor representation. We construct a classifier that can reliably identify the composer of a classical musical score. Our methods, which operate on the generic tensor score representation, outperform previously reported results using SVM and kNN classifiers with handcrafted features, specialized for the composer classification task. 3. We develop a sampling algorithm for likelihood-based models that allows us to steer an unconditional generative model using conditioning information. We work within a Bayesian posterior sampling framework, using a pre-trained unconditional generative model as a prior, to sample from the posterior distribution of a conditional likelihood. Samples are obtained using noise-annealed Langevin dynamics to construct a Markov chain to approximate a sample from the posterior distribution. We develop these ideas for a variety of models and applications, including source separation, in both the visual and audio domains.
Download or read book Sound Music and Motion written by Mitsuko Aramaki and published by Springer. This book was released on 2014-12-04 with total page 680 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the 10th International Symposium on Computer Music Modeling and Retrieval, CMMR 2013, held in Marseille, France, in October 2013. The 38 conference papers presented were carefully reviewed and selected from 94 submissions. The chapters reflect the interdisciplinary nature of this conference with following topics: augmented musical instruments and gesture recognition, music and emotions: representation, recognition, and audience/performers studies, the art of sonification, when auditory cues shape human sensorimotor performance, music and sound data mining, interactive sound synthesis, non-stationarity, dynamics and mathematical modeling, image-sound interaction, auditory perception and cognitive inspiration, and modeling of sound and music computational musicology.
Download or read book Computer Music Modeling and Retrieval written by Uffe K. Wiil and published by Springer. This book was released on 2004-02-02 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-proceedings of the International Computer Music Modeling and Retrieval Symposium, CMMR 2003, held in Montpellier, France, in May 2003. The 20 revised full papers were carefully selected during two rounds of reviewing and improvement. Due to the interdisciplinary nature of the area, the papers address a broad variety of topics including information retrieval, programming, human-computer interaction, digital libraries, hypermedia, artificial intelligence, acoustics, signal processing, etc. The book comes with a CD-ROM presenting supplementary material for the papers included.
Download or read book Numbers Notes written by Regina Collecchia and published by . This book was released on 2012 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Computational Modeling and Analysis of Multi timbral Musical Instrument Mixtures written by Jeffrey Scott and published by . This book was released on 2014 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the audio domain, the disciplines of signal processing, machine learning, psychoacoustics, information theory and library science have merged into the field of Music Information Retrieval (Music-IR). Music-IR researchers attempt to extract high level information from music like pitch, meter, genre, rhythm and timbre directly from audio signals as well as semantic meta-data over a wide variety of sources. This information is then used to organize and process data for large scale retrieval and novel interfaces. For creating musical content, access to hardware and software tools for producing music has become commonplace in the digital landscape. While the means to produce music have become widely available, significant time must be invested to attain professional results. Mixing multi-channel audio requires techniques and training far beyond the knowledge of the average music software user. As a result, there is significant growth and development in intelligent signal processing for audio, an emergent field combining audio signal processing and machine learning for producing music. This work focuses on methods for modeling and analyzing multi-timbral musical instrument mixtures and performing automated processing techniques to improve audio quality based on quantitative and qualitative measures. The main contributions of the work involve training models to predict mixing parameters for multi-channel audio sources and developing new methods to model the component interactions of individual timbres to an overall mixture. Linear dynamical systems (LDS) are shown to be capable of learning the relative contributions of individual instruments to re-create a commercial recording based on acoustic features extracted directly from audio. Variations in the model topology are explored to make it applicable to a more diverse range of input sources and improve performance. An exploration of relevant features for modeling timbre and identifying instruments is performed. Using various basis decomposition techniques, audio examples are reconstructed and analyzed in a perceptual listening test to evaluate their ability to capture salient aspects of timbre. These tests show that a 2-D decomposition is able to capture much more perceptually relevant information with regard to the temporal evolution of the frequency spectrum of a set of audio examples. The results indicate that joint modeling of frequencies and their evolution is essential for capturing higher level concepts in audio that we desire to leverage in automated systems.
Download or read book Computer Representations and Models in Music written by Alan Marsden and published by . This book was released on 1992 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: A collection of papers from a recent international conference concerned with computers in music research. The selection presents detailed discussions of computational representations and models in music, and aims to lay the foundations for future music software.
Download or read book From Sounds to Music and Emotions written by Mitsuko Aramaki and published by Springer. This book was released on 2013-09-12 with total page 514 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the 9th International Symposium on Computer Music Modeling and Retrieval, CMMR 2012, held in London, UK, in June 2012. The 28 revised full papers presented were carefully reviewed and selected for inclusion in this volume. The papers have been organized in the following topical sections: music emotion analysis; 3D audio and sound synthesis; computer models of music perception and cognition; music emotion recognition; music information retrieval; film soundtrack and music recommendation; and computational musicology and music education. The volume also includes selected papers from the Cross-Disciplinary Perspectives on Expressive Performance Workshop held within the framework of CMMR 2012.
Download or read book Dictionary based Analysis synthesis and Structured Representations of Musical Audio written by Graham Boyes and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In the representation of musical audio, it is common to favour either a signal or symbol interpretation, where mid-level representation is an emerging topic. In this thesis we investigate the perspective of structured, intermediate representations through an integration of theoretical aspects related to separable sound objects, dictionary-based methods of signal analysis, and object-oriented programming. In contrast to examples in the literature that approach an intermediate representation from the signal level, we orient our formulation towards the symbolic level. This methodology is applied to both the specification of analytical techniques and the design of a software framework. Experimental results demonstrate that our method is able to achieve a lower Itakura-Saito distance, a perceptually-motivated measure of spectral dissimilarity, when compared to a generic model and that our structured representation can be applied to visualization as well as agglomerati...
Download or read book Sound and Music Computing written by Tapio Lokki and published by MDPI. This book was released on 2018-06-26 with total page 621 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a printed edition of the Special Issue "Sound and Music Computing" that was published in Applied Sciences
