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Audio Signal Processing for Music Applications | Stanford ...

    https://online.stanford.edu/courses/sohs-ymusic0001-audio-signal-processing-music-applications#:~:text=Stanford%20School%20of%20Humanities%20and%20Sciences%20Description%20Audio,methods%20that%20are%20used%20in%20many%20musical%20applications.
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Audio Signal Processing for Music Applications | …

    https://online.stanford.edu/courses/sohs-ymusic0001-audio-signal-processing-music-applications
    Audio signal processing is an engineering field that focuses on the computational methods for intentionally altering sounds, methods that are used in many musical applications. We have tried to put together a course that can be of interest and accessible to people coming from diverse backgrounds while going deep into sever…

Audio Signal Processing - Stanford University

    https://ccrma.stanford.edu/overview/dsp.html
    Liu, Y. and Smith, J.O. (2004) Watermarking sinusoidal audio representations by quantization index modulation in multiple frequencies, Proceedings of the 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, Montreal, Canada. Bayesian Two-Source Models for Stereo Sound Source Separation of N Sources

Audio Signal Processing in FAUST - Stanford University

    https://ccrma.stanford.edu/~jos/aspf/
    A filter in the audio signal processing context is any operation that accepts a signal as an input and produces a signal as an output. Most practical audio filters are linear and time invariant, in which case they can be characterized by their impulse response or their frequency response. — Click for https://ccrma.stanford.edu/~jos/filters/What_Filter.html.

Audio applications of signal processing | Department of Music

    https://music.stanford.edu/people/faculty/audio-applications-signal-processing
    Special fields: audio and music applications of signal and array processing, point estimation and acoustics; particularly audio effects processing, room acoustics, spatial hearing, musical acoustics and physical modeling, emulation of vintage analog audio processors. Co-founder and CTO of Universal Audio, Inc.

SPECTRAL AUDIO SIGNAL PROCESSING - Stanford University

    https://ccrma.stanford.edu/~jos/sasp/
    SPECTRAL AUDIO SIGNAL PROCESSING. JULIUS O. SMITH III Center for Computer Research in Music and Acoustics (CCRMA)

MUS320A&B: Introduction to Digital Audio Signal Processing

    https://ccrma.stanford.edu/~jos/intro320/Welcome.html
    MUS320A&B: Introduction to Digital Audio Signal Processing. Center for Computer Research in Music and Acoustics (CCRMA) Department of Music, Stanford University. 320A : Autumn Quarter 320B : Winter Quarter 2020-2021. Course Description ... (CCRMA), Stanford University ...

Speech and Audio Signal Processing : Processing and ...

    https://searchworks-lb.stanford.edu/view/13197740
    Stanford Libraries' official online search tool for books, media, journals, databases, government documents and more. Speech and Audio Signal Processing : Processing and Perception of Speech and Music in SearchWorks catalog

Signal Processing & Multimedia | Stanford EE

    https://ee.stanford.edu/research/signal-processing-and-multimedia
    350 Jane Stanford Way Stanford, CA 94305. Phone: (650) 723-3931 [email protected] Campus Map

Complex Nonlinearities for Audio Signal Processing

    https://ccrma.stanford.edu/~jatin/papers/Complex_NLs.pdf
    Jatin Chowdhury Center for Computer Research in Music and Acoustics Stanford University Palo Alto, CA [email protected] ABSTRACT We present an ongoing study of new and interesting nonlinear structures for audio signal processing, intended to be used for au- dio effects and synthesis. We give a brief discussion of each struc- ture, and present a series of …

TEACHING DIGITAL SIGNAL PROCESSING WITH …

    https://web.stanford.edu/~rqi/papers/ee264_spw15.pdf
    The Stanford course, EE 264, “Digital Signal Processing” is aimed at mature undergraduates and first-year graduate students. It assumes a previous undergraduate introduction to the basic concepts of DSP, including discrete convolution, difference equations, sampling and the discrete-time Fourier transform.

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