course: Fundamentals of Automatic Speech Recognition

number:
141044
teaching methods:
lecture with integrated lab excercises
media:
overhead transparencies
responsible person:
Prof. Dr.-Ing. Do­ro­thea Kolossa
lecturer:
Prof. Dr.-Ing. Do­ro­thea Kolossa (ETIT)
language:
german
HWS:
4
CP:
6
offered in:
summer term

dates in summer term

  • start: Tuesday the 02.04.2019
  • lecture Tuesdays: from 14:15 to 15.45 o'clock in ID 04/445
  • tutorial Wednesdays: from 12:15 to 13.45 o'clock in ID 2/201

Exam

Form of exam:written
Registration for exam:FlexNow
Date:09.08.2019
Begin:11:30
Duration:120min
Room : HID

goals

The participants understand the theoretical foundations and practical realization concerns of automatic speech recognition systems. They can implement the core algorithms of automatic speech recognition and they understand the principle of operation of state-of-the art small- and large-vocabulary recognizers.

content

The lecture teaches foundations and application of machine speech recognition in that form, in which they are being used in current systems for continuous speech recognition. The following topics are addressed

  • Foundations: Phonetics, Speech Perception
  • Deep neural networks and statistical methods for classification and posterior probability estimation
  • Feature extraction in the time, frequency and cepstrum domain
  • Speech Recognition using Hidden Markov Models

Simultaneously, in practical excercises, a connected-word recognizer is implemented in Python in small teams of 2-3 students.

requirements

keine

recommended knowledge

  • Basic knowledge of digital signal processing
  • Basic programming knowledge

materials

script:

presentation slides:

tutorials:

written exam:

miscellaneous

Sprechzeiten im Semester (in den Semesterferien nach Vereinbarung):

Prof. Dr.-Ing. Dorothea Kolossa Mittwochs 09:30 - 11:00 Uhr, ID2/325

Mahdie Karbasi, M.Sc., Freitags 14:00 - 15:00 Uhr, ID2/328

Lea Schönherr, M.Sc., Donnerstags, 10:00 - 11:00 Uhr, ID2/330

Dipl.-Ing. Christopher Schymura, Montags 09:00 - 10:00 Uhr, ID2/328 (ab 15.04.2019)