The objective of this lab course is to give students a hands on experience in audio processing. Requirements are a solid mathematical background, a good understanding of fundamentals in digital signal processing, as well as a general background and personal interest in audio. Furthermore, experience with PYTHON and NUMPY is required. Experience with the R Programming language is benefitial (beginners tutorial is provided in the course material). The lab course is supervised by members of the AudioLabs team.
Registration is required for this lab. Registration is open from Monday, April 1, 0:00 to Sunday, April 14, 23:59 via StudOn. For an overview of this course, click here. For questions, please contact Sebastian Rosenzweig.
The lab consists of:
five units (4 hours each) in Room 3R3.06 (P1, LIKE), dates and times t.b.a.:
Lab 1: Short-Time Fourier Transform and Chroma Features
Supervisors: Sebastian Rosenzweig, Christof Weiß
Lab 2: Statistical Methods for Audio Experiments
Supervisors: Alexander Adami, Nils Werner/Pablo Delgado
Lab 3: Speech Enhancement Using Microphone Arrays
Supervisors: Wolfgang Mack, Adrian Herzog
Lab 4: Virtual Acoustics
Supervisors: Frank Wefers
Lab 5: Speech Analysis