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321 - 330 of 336 results for: MUSIC

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MUSIC 341: Ph.D Dissertation

May be repeated for credit a total of 5 times.
Terms: Aut, Win, Spr, Sum | Units: 1-10 | Repeatable 6 times (up to 60 units total)

MUSIC 351A: Seminar in Music Perception and Cognition I

A seminar on topics in music perception and cognition. Students will study and discuss recent research as well as design and implement experiments.
Terms: Aut | Units: 1-3 | Repeatable 10 times (up to 30 units total)
Instructors: Fitzgerald, M. (PI) ; Fujioka, T. (PI)

MUSIC 364: Data-Driven Research in Music Cognition

Project-based course exploring the impact of music on human behavior using evidence of user engagement with music in large-scale datasets including publicly available industrial and social-media data and corpuses published for research purposes. Data-driven research complements laboratory-based behavioral and imaging research by focusing on framing and addressing music-related questions using pre-existing datasets. Class meetings include lectures, guest speakers, and student discussions of background literature and projects. Assignments include weekly readings, labs, and a final project. Basic musical proficiency is required. Experience with programming, data visualization, statistics, or music cognition is desirable.
Last offered: Winter 2017

MUSIC 390: Practicum Internship

On-the-job training under the guidance of experienced, on-site supervisors. Meets the requirements for curricular practical training for students on F-1 visas. Students submit a concise report detailing work activities, problems worked on, and key results. May be repeated for credit. Prerequisite: qualified offer of employment and consent of adviser.
Terms: Aut, Win, Spr, Sum | Units: 1 | Repeatable for credit

MUSIC 399: D.M.A. Final Project

May be repeated for credit a total of 5 times.
Terms: Aut, Win, Spr, Sum | Units: 1-10 | Repeatable 6 times (up to 60 units total)

MUSIC 420A: Signal Processing Models in Musical Acoustics

Computational methods in musical sound synthesis and digital audio effects based on acoustic physical models. Topics: mass-spring-dashpot systems; electric circuit analogies; finite difference schemes; state-space models and the modal representation; impedance; ports; acoustic simulation using delay lines, digital filters, and nonlinear elements; interpolation and sampling-rate conversion; delay effects; wave digital filters; real-time computational models for musical instruments and effects, both acoustic and electronic. See http://ccrma.stanford.edu/courses/420/. Prerequisites: MUSIC 320A and MUSIC 320B or equivalent; PHYSICS 21 or equivalent course applying Newton's laws of motion; and CS 106B or equivalent programming in C and C++.
Terms: Win | Units: 3-4
Instructors: Smith, J. (PI) ; Rau, M. (TA)

MUSIC 421A: Time-Frequency Audio Signal Processing

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.
Terms: Spr | Units: 3-4
Instructors: Smith, J. (PI) ; Das, O. (TA)

MUSIC 421N: Deep Learning for Music and Audio

Seminar reviewing the development of deep-learning methods in music and audio fields. See the course website for latest information: http://ccrma.stanford.edu/courses/mus421n/
Last offered: Autumn 2017

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) ; Zhang, J. (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)
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