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
VCV Rack: Open-source virtual modular synthesis and introduction to module development in C++
Date:Wed, 07/03/2019 - 5:30pm - 7:00pmLocation:CCRMA Class Room [Knoll 217]Event Type:DSP SeminarAbstract: VCV Rack is a new open-source virtual modular synthesizer for Mac/Windows/Linux based on the appearance, sound, and functionality of Eurorack and other modular formats. Its first stable version, 1.0, was recently released, including modular polyphony, a multi-threaded DSP engine, MIDI input/output, MIDI parameter mapping, and several other frequently-requested features. Rack's license allows open-source, freeware, and commercial plugins to be built using Rack's SDK, and its community has grown in the last two years to over 100,000 users and around 150 plugin developers, with over 1,200 modules currently available.
Rack is written in C++ and processes modules with 1-sample buffers to allow low-latency feedback in patches.
FREEOpen to the PublicDeep Waveform Synthesis
Date:Thu, 05/30/2019 - 5:30pm - 7:00pmLocation:CCRMA Class Room [Knoll 217]Event Type:DSP SeminarAbstract: Conventional audio synthesis (TTS, voice conversion, enhancement, etc) often relies on acoustic feature representations (spectrogram, MFCC, F0, etc.) and a signal processing procedure that infers the waveform from these features. However, such procedures often introduce artifacts caused by insufficient information in the feature representation (e.g. iSTFT without the correct phase info) and/or an oversimplified synthesis process (e.g. a source-filter model). Recent advancements battle this problem using deep learning: WaveNet, for example, generates the waveform sample-by-sample based on acoustic features and previously generated samples using a dilated convolutional net.
FREEOpen to the PublicMATLAB/Simulink Tools for Deep Learning, Signal Analysis, and Physical Modeling for Audio
Date:Thu, 05/16/2019 - 5:30pm - 7:00pmLocation:CCRMA Class Room [Knoll 217]Event Type:DSP SeminarAbstract: MathWorks engineers will present an overview of MATLAB/Simulink functionality related to current CCRMA research, such as Deep Learning for Signal Processing (especially audio and music), Signal Analyzer App for working with signals in the time and frequency domains, and Simscape for Physical Modeling (spring-mass-damper systems, circuits, etc.).
FREEOpen to the PublicFrom 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 Public
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