Audio Signal Processing for Music Applications

开始时间: 04/22/2022 持续时间: 10 weeks

所在平台: CourseraArchive

课程类别: 信息,技术与设计

大学或机构: Stanford University(斯坦福大学)

授课老师: Xavier Serra Julius O Smith

课程主页: https://www.coursera.org/course/audio

课程评论:没有评论

第一个写评论        关注课程

课程详情

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 several signal processing topics. We focus on the spectral processing techniques of relevance for the description and transformation of sounds, developing the basic theoretical and practical knowledge with which to analyze, synthesize, transform and describe audio signals in the context of music applications.

The course is based on open software and content. The demonstrations and programming exercises are done using Python under Ubuntu, and the references and materials for the course come from open online repositories. We are also distributing with open licenses the software and materials developed for the course.

课程大纲

Week 1: Introduction; basic mathematics 
Week 2: Discrete Fourier transform
Week 3: Fourier transform properties
Week 4: Short-time Fourier transform
Week 5: Sinusoidal model
Week 6: Harmonic model
Week 7: Sinusoidal plus residual modeling
Week 8: Sound transformations
Week 9: Sound/music description
Week 10: Concluding topics; beyond audio signal processing

课程评论(0条)

课程简介

In this course you will learn about audio signal processing methodologies that are specific for music and of use in real applications. You will learn to analyse, synthesize and transform sounds using the Python programming language.

课程标签

3人关注该课程

主题相关的课程