Kurt James Werner

CCRMA Role:

Doctoral Student

Years Attended:

09/2011 - 12/2016

Preferred Email (public):

kwerner@ccrma.stanford.edu

URL:

http://ccrma.stanford.edu/~kwerner

Current Employer:

Lecturer in Audio @ Sonic Arts Research Centre (SARC) @ Queen's University Belfast

About Me:

I'm Dr. Kurt James Werner, a Lecturer in Audio @ the Sonic Arts Research Centre (SARC) @ Queen's University Belfast. I'm active as a researcher and writer, composer of electro-acoustic/acousmatic (&c.) music, author of digital signal processing code & compositional algorithms, & circuit-bender. My research focuses on theoretical aspects of wave digital filters and other virtual analog topics, computer modeling of circuit-bent instruments, & the history of music technology.

I earned my Ph.D. in Computer-Based Music Theory and Acoustics from Stanford University's Center for Computer Research in Music and Acoustics (CCRMA). As part of my doctorate I wrote a dissertation called “Virtual Analog Modeling of Audio Circuitry Using Wave Digital Filters” & a number of other papers & articles. Please find a list of my research published while at Stanford (pre-2017) below.

For current information, please visit my website http://ccrma.stanford.edu/~kwerner/ or feel free to contact me via e-mail at k.werner@qub.ac.uk or kwerner@ccrma.stanford.edu.

Research:

Virtual Analog Modeling of Audio Circuitry Using Wave Digital Filters

Modeling the Hammond Organ Vibrato/Chorus with Wave Digital Filters

Resolving Grouped Nonlinearities in Wave Digital Filters using Iterative Techniques

The Fender Bassman 5F6-A Family of Preamplifier Circuits—A Wave Digital Filter Case Study

RTWDF—A modular wave digital filter library with support for arbitrary topologies and multiple nonlinearities

Wave Digital Filter Modeling of Circuits with Operational Amplifiers

Modal Processor Effects Inspired by Hammond Tonewheel Organs

Modeling Nonlinear Wave Digital Elements using the Lambert Function

Sinusoidal Parameter Estimation Using Quadratic Interpolation Around Power-Scaled Magnitude Spectrum Peaks

Wave Digital Filter Adaptors for Arbitrary Topologies and Multiport Linear Elements