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351 - 359 of 359 results for: MUSIC

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

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

MUSIC 424: Signal Processing Techniques for Digital Audio Effects

Terms: Spr | Units: 3-4

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: Neuroscience of Auditory Perception and Music Cognition II: Neural Oscillations

Building on 451A, this course will review basic knowledge and EEG techniques of neural oscillations related to auditory perception and music cognition via seminar and laboratory work. Through reviewing and replicating findings using classic and recent paradigms, the laboratory exercises offer multiple ways to understand how to design experiments and analyze data to observe neural oscillatory activities in different frequency bands, then interpret their functional significance in sensorimotor processing, attention, and social interaction ¿ important aspects of music listening and performance. Seminar discusses literature in neurophysiology, neuropsychology, and brain-computer interface. Prerequisite: Music 451A or permission of instructor.
Terms: Win | Units: 2-5
Instructors: Fujioka, T. (PI)

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 2019 | Repeatable for credit

MUSIC 801: TGR Project

Terms: Aut, Win, Spr, Sum | Units: 0 | Repeatable for credit

MUSIC 802: TGR Dissertation

Terms: Aut, Win, Spr, Sum | Units: 0 | Repeatable for credit
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