Audio Signal Processing for Music Applications
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Course Summary
This course offers an in-depth understanding of audio processing and manipulation techniques, including filtering, equalization, and time-frequency analysis.Key Learning Points
- Learn the fundamentals of audio signal processing
- Explore various techniques for manipulating and analyzing audio signals
- Gain hands-on experience with MATLAB and Python
Related Topics for further study
Learning Outcomes
- Understand the principles of audio signal processing
- Develop skills in using MATLAB and Python for audio manipulation
- Apply signal processing techniques to real-world audio problems
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of calculus and linear algebra
- Familiarity with programming in MATLAB or Python
Course Difficulty Level
IntermediateCourse Format
- Online
- Self-paced
Similar Courses
- Digital Signal Processing
- Audio Production
Related Education Paths
Notable People in This Field
- Dave Pensado
- Andrew Huang
Related Books
Description
In this course you will learn about audio signal processing methodologies that are specific for music and of use in real applications. 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.
Outline
- Introduction
- Teaser
- Welcome
- Introduction to Audio Signal Processing
- Course outline
- Basic mathematics
- Introduction to Audacity
- Introduction to SonicVisualizer
- Introduction to sms-tools
- Introduction to Python
- Python and sounds
- sms-tools software
- Advanced readings and videos
- Basics
- Discrete Fourier transform
- DFT 1
- DFT 2
- Analyzing a sound
- Introduction to Freesound
- Sinusoids
- DFT
- Advanced readings and videos
- DFT
- Fourier theorems
- Fourier properties 1
- Fourier properties 2
- Periodic signals
- Complex sounds
- Spectrum
- Fourier properties
- dftModel
- Advanced readings and videos
- Fourier properties
- Short-time Fourier transform
- STFT 1
- STFT 2
- Spectrogram
- Analyzing a sound
- Windows
- STFT
- Advanced readings and videos
- Short-time Fourier transform
- Sinusoidal model
- Sinusoidal model 1
- Sinusoidal model 2
- Sinusoidal model 3
- Sinusoidal model
- Analyzing a sound
- Peak detection
- Sinusoidal synthesis
- sineModel
- Advance reading
- Sinusoidal model
- Harmonic model
- Harmonic model
- F0 detection
- Pitch detection
- Harmonic model
- Analyzing a sound
- F0 detection
- harmonicModel
- Advanced readings
- Harmonic model
- Sinusoidal plus residual model
- Stochastic model
- Sinusoidal plus residual modeling
- Stochastic model
- Harmonic plus residual model
- Harmonic plus stochastic model
- stochasticModel
- hprModel
- hpsModel
- Advanced readings
- Sinusoidal plus residual model
- Sound transformations
- Sounds transformations 1
- Sounds transformations 2
- Morphing with STFT
- Time scaling
- Pitch changes
- Morphing with HPS
- stftTransformations
- sineTransformations
- hpsTransformations
- Advanced readings
- Sound transformations
- Sound and music description
- Audio features
- Sound and music description
- Sound descriptors
- Freesound
- Intro to Essentia
- Freesound API
- Sound and music description
- Concluding topics
- Beyond audio processing
- Review
- MTG-UPF
- Goodbye
- Dunya
- AcousticBrainz
- Advanced readings
- Concluding topics
- Concluding topics: Lesson Choices
Summary of User Reviews
The Audio Signal Processing course on Coursera has received positive reviews from users. Many users found the course to be informative and engaging, and appreciated the clear explanations of complex topics. Overall, the course is highly recommended by users.Key Aspect Users Liked About This Course
Clear explanations of complex topicsPros from User Reviews
- Informative and engaging course content
- Clear and well-organized lectures
- Useful assignments and exercises
- Great instructor who is knowledgeable and responsive
Cons from User Reviews
- Some users found the course to be too technical or difficult
- Limited opportunities for interaction with other students
- The course may not be suitable for beginners with no prior knowledge of audio signal processing
Xavier Serra
4.8 Raiting
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