printer friendly pageMUSIC 421A: Audio Applications of the Fast Fourier Transform (FFT)
Spectrum analysis and signal processing using Fast Fourier Transforms (FFTs) with emphasis on audio applications. Topics: Fourier theorems; FFT windows; spectrum analysis; spectrograms; sinusoidal modeling; spectral modeling synthesis; FFT convolution; FIR filter design and system identification; overlap-add and filter-bank-summation methods for short-time Fourier analysis, modification, and resynthesis. See
http://ccrma.stanford.edu/courses/421/. Prerequisites:
Music 320A and
Music 320B or equivalent background in spectrum analysis and linear systems.
Last offered: Spring 2016
MUSIC 422: Perceptual Audio Coding
History and basic principles: development of psychoacoustics-based data-compression techniques; perceptual-audio-coder applications (radio, television, film, multimedia/internet audio, DVD, EMD). In-class demonstrations: state-of-the-art audio coder implementations (such as AC-3, MPEG) at varying data rates; programming simple coders. Topics: audio signals representation; quantization; time to frequency mapping; introduction to psychoacoustics; bit allocation and basic building blocks of an audio codec; perceptual audio codecs evaluation; overview of MPEG-1, 2, 4 audio coding and other coding standards (such asAC-3). Prerequisites: knowledge of digital audio principles, familiarity with C programming. Recommended: 320,
EE 261. See
http://ccrma.stanford.edu/.
Terms: Win
| Units: 3
Instructors:
Bosi, M. (PI)
;
Germain, F. (TA)
MUSIC 423: Graduate Research in Music Technology
Research discussion, development, and presentation by graduate students, visiting scholars, and CCRMA faculty in the areas of music and/or audio technology. Permission of instructor required. See
http://ccrma.stanford.edu/courses/423/ for latest information. May be repeated for credit.
Terms: Aut, Win, Spr
| Units: 1-10
| Repeatable
for credit
(up to 990 units total)
Instructors:
Abel, J. (PI)
;
Berners, D. (PI)
;
Lopez-Lezcano, F. (PI)
...
more instructors for MUSIC 423 »
Instructors:
Abel, J. (PI)
;
Berners, D. (PI)
;
Lopez-Lezcano, F. (PI)
;
Mysore, G. (PI)
;
Smith, J. (PI)
MUSIC 424: Signal Processing Techniques for Digital Audio Effects
Techniques for dynamic range compression, reverberation, equalization and filtering, panning and spatialization, digital emulation of analog processors, and implementation of time-varying effects. Single-band and multiband compressors, limiters, noise gates, de-essers, convolutional reverberators, parametric and linear-phase equalizers, wah-wah and envelope-following filters, and the Leslie. Students develop effects algorithms of their own design in labs. Prerequisites: digital signal processing, sampling theorem, digital filtering, and the Fourier transform at the level of 320 or
EE 261; Matlab and modest C programming experience. Recommended: 420 or
EE 264; audio effects in mixing and mastering at the level of 192.
Terms: Spr
| Units: 3-4
MUSIC 434: Gender and Performance (FEMGEN 434, FILMSTUD 434, TAPS 344A)
This seminar seeks to investigate relationships between performance, gender, and the body politic through a discussion of embodiment, body cultures, queerness, desire, representation. Through a weekly engagement with film texts from across the world as well as theoretical perspectives on gender and performance in various geo-political contexts, we will explore the intersections of gender with race, class, national discourse, and performance traditions. The seminar is conceived to be interdisciplinary and participants are encouraged to introduce and work with texts from other disciplines, including visual arts, theatre, dance, literature etc. No prior engagement with film studies is required. Screening times may range from 90 to 180 minutes.
Terms: Win
| Units: 5
Instructors:
Iyer, U. (PI)
MUSIC 451A: Basics in Auditory and Music Neuroscience
Understanding basic concepts and techniques in cognitive neuroscience using electroencephalography (EEG) specific to auditory perception and music cognition via seminar and laboratory exercise work. Acquiring and practicing skills in experimental design, data analysis, and interpretation, writing for scientific reports and research proposals, and giving a critical review of others' scientific work. Seminar discusses related literature in neuroanatomy, neurophysiology, psychology, and neuroimaging. Laboratory focuses on electroencephalography (EEG) techniques, classic paradigms for recording evoked response, and associated data analysis methods.
Terms: Aut
| Units: 2-5
Instructors:
Fujioka, T. (PI)
MUSIC 451B: Advanced Research in Auditory and Music Neuroscience
Advancing research skills in cognitive neuroscience specific to auditory perception and music cognition by doing individual research project. Activities include surveying literature, designing own study, discussing other¿s research and giving constructive criticisms, writing research proposals, reports and critical reviews. Laboratory works covers advanced electroencephalography (EEG) recording and analysis techniques. Seminar discusses related literature in basic and clinical research in neurophysiology and neuropsychology. Final project is aimed at producing presentable data based on hypothesis-driven experiment. Prerequisite:
Music 451A.
Last offered: Winter 2015
MUSIC 451C: Auditory EEG Research III: Coordinated Actions and Hyperscanning
Advancing EEG research skills in cognitive neuroscience specific to music cognition by conducting a group research project. In particular, this course focuses on basics for 2-person EEG (hyperscanning) paradigms and explores how coordinated actions and social interactions during musical ensemble are processed in the two brains. Laboratory works covers advanced electroencephalography (EEG) recording and analysis techniques specifically for oscillation and phase coherence across brain areas and between subjects. Seminar activities include surveying literature, discussing research articles and giving criticisms, and writing research reports. Lab scheduled separately Prerequisite:
Music 451A
Last offered: Winter 2016
| Repeatable
4 times
(up to 20 units total)
MUSIC 801: TGR Project
Terms: Aut, Win, Spr, Sum
| Units: 0
| Repeatable
for credit
Instructors:
Applebaum, M. (PI)
;
Barth, G. (PI)
;
Berger, J. (PI)
...
more instructors for MUSIC 801 »
Instructors:
Applebaum, M. (PI)
;
Barth, G. (PI)
;
Berger, J. (PI)
;
Berger, K. (PI)
;
Cai, J. (PI)
;
Chafe, C. (PI)
;
Cohen, A. (PI)
;
DeMarinis, P. (PI)
;
Ferneyhough, B. (PI)
;
Fujioka, T. (PI)
;
Grey, T. (PI)
;
Hadlock, H. (PI)
;
Hinton, S. (PI)
;
Kapuscinski, J. (PI)
;
Kronengold, C. (PI)
;
Mahrt, W. (PI)
;
Myers, H. (PI)
;
Rodin, J. (PI)
;
Sano, S. (PI)
;
Smith, J. (PI)
;
Ulman, E. (PI)
;
Wang, G. (PI)
MUSIC 802: TGR Dissertation
Terms: Aut, Win, Spr, Sum
| Units: 0
| Repeatable
for credit
Instructors:
Applebaum, M. (PI)
;
Barth, G. (PI)
;
Berger, J. (PI)
...
more instructors for MUSIC 802 »
Instructors:
Applebaum, M. (PI)
;
Barth, G. (PI)
;
Berger, J. (PI)
;
Berger, K. (PI)
;
Cai, J. (PI)
;
Chafe, C. (PI)
;
Cohen, A. (PI)
;
Ferneyhough, B. (PI)
;
Fujioka, T. (PI)
;
Grey, T. (PI)
;
Hadlock, H. (PI)
;
Hinton, S. (PI)
;
Kapuscinski, J. (PI)
;
Kronengold, C. (PI)
;
Mahrt, W. (PI)
;
Myers, H. (PI)
;
Rodin, J. (PI)
;
Sano, S. (PI)
;
Schultz, A. (PI)
;
Smith, J. (PI)
;
Ulman, E. (PI)
;
Wang, G. (PI)
Filter Results: