MUS423 Research Seminars
The CCRMA Music 423 Research Seminar brings graduate students and supervising faculty together for planning and discussion of original research. Students and faculty meet either in small groups or individually, as appropriate for the research topics and interests of the participants. Research carried out is typically presented at the weekly CCRMA Colloquium (if it is of general interest to the CCRMA community) or at a Special DSP Seminar scheduled for that purpose. In either case, announcements appear on the CCRMA Home Page as Upcoming Events.
Recent DSP Seminars
From signal representations to musical creation: a geometric approach
Date:Thu, 04/25/2019 - 5:30pm - 7:00pmLocation:CCRMA Class Room [Knoll 217]Event Type:DSP SeminarCarmine Emanuele Cella, assistant professor in music and technology at CNMAT, will present work done in the last years in searching good signal representations that permit high-level manipulation of musical concepts. After the definition of a geometric approach to signal representation, the theory of sound-types and its application to music will be presented. Finally, recent research on assisted orchestration will be shown and some possible musical applications will be proposed, with connections to deep learning methods.
CNMAT, University of California, Berkeley: http://www.carminecella.com/index.html
Open to the PublicApplied Machine Learning for Audio Classification
Date:Fri, 04/19/2019 - 5:30pm - 7:00pmLocation:CCRMA Class Room [Knoll 217]Event Type:DSP SeminarAbstract: Ale Koretzky, Head of Machine Learning at Splice.com and creator of tuneSplit, will discuss and compare approaches and techniques for Audio Classification; from simple Nearest Neighbor methods like k-NN, to Decision Trees to Convolutional Neural Networks (CNN) and Deep Autoencoders. Using examples with real data, Koretzky will address the importance of both Feature Engineering and Feature Learning and how they can work together. At the end of the session, students should be able to implement most of the techniques but more importantly, develop the key intuitions behind Audio Classification in order to address any related problem with domain-specific data.
FREEOpen to the PublicExploring Real-Time DSP Systems for Mixing and Performance
Date:Thu, 04/11/2019 - 5:30pm - 7:00pmLocation:CCRMA Class Room [Knoll 217]Event Type:DSP SeminarOver the past four years, Jatin Chowdhury developed a wide variety of audio DSP systems intended to be used by mixing engineers and instrumentalists, including non-linear digital audio effects, timbral converters, binaural renderers, physical models, and more. This presentation will give a brief overview of all his previous works as well as several still in progress, along with more in-depth discussion of recent projects including notGuitar (a real-time timbral conversion system), various distortion effects, and NewMixer (a non-traditional mixing tool).
FREEOpen to the PublicTwo Approaches to Virtual Analog Modeling
Date:Thu, 04/20/2017 - 5:30pm - 7:30pmLocation:CCRMA ClassroomEvent Type:DSP SeminarThis week's DSP seminar will feature THREE short conference-style talks on Virtual Analog Modeling. First, resident wave digital filter expert Mike Olsen and recent CCRMA alum Dr. Kurt James Werner will review papers on two aspects of the Wave Digital Filter formalism. Second, Ben Holmes (PhD candidate, Sonic Arts Research Centre, Queen's University Belfast) will present his work on characterizing physical Virtual Analog models of audio circuits.
FREEOpen to the PublicJoseph Tilbian: "Stride: A Domain-Specific Language for Sound Synthesis, Processing, and Interaction Design"
Date:Thu, 04/06/2017 - 5:15pm - 6:15pmLocation:CCRMA ClassroomAbstract: Stride is a domain-specific language for real-time sound synthesis, processing, and interaction design. Through hardware resource abstraction and separation of semantics from implementation, Stride targets a wide range of computation devices such as micro-controllers, system-on-chips, general purpose computers, and heterogeneous systems. With a novel and unique approach at handling sampling rates as well as clocking and computation domains, Stride prompts the generation of highly optimized target code. The design of the language facilitates incremental learning of its features and is characterized by intuitiveness, usability, and self-documentation.Event Type:DSP SeminarFREEOpen to the PublicAdaptive mixing of noisy and robust beamformers for enhancement, visualization and reproduction of sound fields
Date:Thu, 03/02/2017 - 5:30pm - 7:00pmLocation:CCRMA Classroom [Knoll 217]Event Type:DSP SeminarSpeaker: Symeon Delikaris-Manias , PhD candidate (advisor Ville Pulkki), Department of Signal Processing and Acoustics, Aalto University, Finland
FREEOpen to the PublicNext Generation Sound Synthesis at the Edinburgh Parallel Computing Centre
Date:Tue, 02/28/2017 - 5:30pm - 7:00pmLocation:CCRMA Classroom [Knoll 217]Event Type:DSP Seminar
Abstract: The NESS project (standing for Next Generation Sound Synthesis), funded through a Starting Grant from the European Research Council for five years beginning on January 1, 2012 is an exploratory project, concerned entirely with synthetic sound—and in particular, numerical simulation techniques for physical modelling sound synthesis in parallel hardware. It is a joint project between the Acoustics and Audio Group and the Edinburgh Parallel Computing Centre, both at the University of Edinburgh. The models developed in the course of the project span a large set of systems, including brass, cymbals and gongs, percussions, guitar/fretboard interaction, bowed strings and large 3D room acoustics simulations.
FREEOpen to the PublicAugmented Reality Headphone Reverberation
Date:Tue, 02/21/2017 - 5:30pm - 7:00pmEvent Type:DSP SeminarAbstract: In audio-visual augmented or mixed reality applications, computer-generated audio objects are rendered via acoustically transparent earphones to blend with the physical environment heard naturally by the viewer/listener. This requires binaural artificial reverberation processing to match local environment acoustics, so that synthetic audio objects are not readily discriminable from sounds occurring naturally or reproduced over loudspeakers. Approaches involving the measurement or calculation of binaural room impulse responses in consumer environments are limited by practical obstacles and complexity.
FREEOpen to the PublicDigital Modeling of Expressive Acoustic Instruments
Date:Thu, 01/26/2017 - 5:30pm - 7:00pmLocation:CCRMA Class Room [Knoll 217]Event Type:DSP SeminarAbstract: The increasing demand of expressive virtual instruments has led the research and development of powerful and sophisticated technologies. While samplers and synthesizers have been for decades the cornerstones of virtual music, it’s nevertheless true that limitations of both techniques are well known. The purpose of our research is to find a way to overcome these constraints exploring both the Physical Modeling and the Sample Modeling approach. We have performed an in-depth study of the Physical Modeling techniques, especially the Digital Waveguides Synthesis by Prof. Julius O. Smith.
FREEOpen to the PublicDeep Learning for Audio Applications using TensorFlow
Date:Thu, 10/27/2016 - 5:30pm - 7:00pmLocation:CCRMA Class Room [Knoll 217[Event Type:DSP SeminarAbstract: Deep learning has become an essential part of audio analysis right from information retrieval to synthesis. The tutorial will cover most of the fundamental aspects of training and debugging neural networks. I will go through various tips and tricks of how to approach a problem, what kind of architectures, loss functions to use, how to set-up experiments for audio classification. At the end of the session, students should be able to run and implement some state of the art algorithms in Tensorflow by themselves. Basic programming efficiency is required. It will also cover why and how do they work. Finally we will also explain some of the techniques of decoding why they work and what do these network learn for various audio applications.
FREEOpen to the Public
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