Xavier Serra from the Barcelona University in collaboration with Prof. Julius Smith from Stanford University has put together a 10 week long course on Audio Signal Processing for Music Applications in the Coursera online platform. The course will start on September 26th and the landing page is https://www.coursera.org/course/audio but you can already go to the class page and check the content of the first week.
We have designed a course that should 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. The software and materials developed for the course are also distributed with open licenses.
Each week of the course is structured around six types of activities:
– Theory: video lectures covering the core signal processing concepts.
– Demos: video lectures presenting tools and examples that complement the theory.
– Programming: video lectures presenting the needed programming skills to implement the techniques described in the theory.
– Quiz: questionnaire to review the concepts covered.
– Assignment: programming exercises to implement and use the methodologies presented.
– Advanced topics: videos and written documents that extend the topics covered.Xavier Serra
Music Technology Group
Universitat Pompeu Fabra, Barcelona
http://www.dtic.upf.edu/~xserra/