Music Signal Processing | Digital Signal Processing, Audio Engineering

Columbia University

Comprehensive introduction to music signal processing, covering acoustics, perception, analog synthesis, sinusoidal models, LPC models, filtering, reverb, and pitch tracking. Hands-on programming assignments and real-world applications.

University CoursesDigital Signal Processing

Introduction

This course provides an introduction to the field of music signal processing, covering topics such as acoustics, perception, analog synthesis, sinusoidal models, LPC models, filtering, reverb, and pitch tracking. Students will learn both the theoretical foundations and practical applications of these concepts through lectures and hands-on programming assignments.

Highlights

  • Comprehensive coverage of key music signal processing techniques
  • Hands-on programming assignments using tools like Pure Data
  • Lectures and video recordings provided for each topic
  • Opportunity to apply concepts to real-world music and audio processing problems

Recommendation

This course is well-suited for students interested in music technology, audio engineering, and digital signal processing. It provides a solid foundation in the fundamental principles and techniques used in music signal processing, making it a valuable addition to the curriculum for those pursuing careers in these fields.

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