Audio Processing Laboratory, Winter Term 2013/2014

Past course
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Prof. Dr. Bernd Edler Prof. Dr. Tom Bäckström


Fabian-Robert Stöter




The lab consists of one preleminary meeting (2 hours) and five units (4 hours each) The first meeting will be held on October 21th 2013 at 10pm-12pm (attendance is mandatory) There the groups will be assigned and an introduction to the lab course will take place. Lab course material (Dezember) First lab experiment (early January, flexible schedule)


Am Wolfsmantel 33, Erlangen-Tennenlohe, Room 3R4.04 (not confirmed yet)



If you want take this lab course, please register before 21th of October via StudOn

Objectives and Format

The objective of this lab course is to give students a hands on experience in audio processing. The lab is organised as follows:

  • First meeting 21.10. at 10:15. Assignment of topics and groups. Further instructions.
  • The lab will start in early January 2014, a detailed schedule will be proposed at the first meeting
  • Every group (~2 participants) have to pass five lab courses.

The lab course material will be available in Dezember. The hand out covers theoretical as well as practical aspects of the labs. They also include homework excercises which are required to prepare before the lab starts, so students will require additional time before each lab to complete the laboratory assignment. Each lab start and ends with an oral exam, where each group demonstrate their theoretical knowledge and present their results.

The lab courses will be held weekly for each group and will be supervised by a member of the AudioLabs team.


The lab course will cover a variety of audio related fields. The lab topics are:

  1. Pitch Estimation and Harmonic to Noise Ratio Estimation

    • Pitch Estimation Algorithms
    • Harmonic to Noise Ratio Estimation Algorithms
    • Time-Warped Transform - a tool relying on pitch estimation
  2. Speech Analysis

    • spectral envelope estimation
    • formant identification
    • phoneme recognition
  3. Speech Synthesis

    • formant, pitch and harmonics-to-noise-ratio -trajectories
    • Harmonic to Noise Ratio Estimation Algorithms
  4. Audio Coding

    • Time-frequency transformation: DFT, DCT, and MDCT
    • Linear predictive coding (LPC) and temporal noise shaping (TNS)
    • entropy and perceptual entropy
    • quantization and coding
    • redundancy reduction vs. irrelevancy reduction
  5. Statistical Methods for Audio Experiments
    • Fundamentals of statistics
    • Hypothesis tests
    • Regression Models
    • Designing, conducting and evaluating Listening Experiments