Stud.IP Uni Oldenburg
University of Oldenburg
02.10.2022 15:34:47
phy677 - Speech processing (Complete module description)
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Module label Speech processing
Modulkürzel phy677
Credit points 6.0 KP
Workload 180 h
(
180 h (Präsenzzeit 56h, Selbststudium: 124h)
)
Institute directory Institute of Physics
Verwendbarkeit des Moduls
  • Master's Programme Engineering Physics (Master) > Schwerpunkt: Acoustics
Zuständige Personen
Doclo, Simon (Module responsibility)
Doclo, Simon (Prüfungsberechtigt)
Kollmeier, Birger (Prüfungsberechtigt)
Meyer, Bernd (Prüfungsberechtigt)
Prerequisites
Introductory signals and systems lecture
Skills to be acquired in this module
The students will be able to (a) explain the foundations of speech production, perception and analysis, (b) understand the mathematical and information-theoretical principles of speech signal processing, and (c) apply the studied methods to explain the working principle of practical speech processing systems.
Module contents
Speech production and perception, speech analysis, speech signal processing (STFT, LPC, cepstrum, speech enhancement), speech coding, speech synthesis, automatic speech recognition, speech quality and intelligibility measures, selected topics on speech processing research.
Literaturempfehlungen

M. R. Schroeder, Computer Speech: Recognition, Compression, Synthesis, Springer, 2013.

J. R. Deller, J. H. L. Hansen, J. G. Proakis: Discrete-Time Processing of Speech Signals, Wiley-IEEE Press, 1999.

P. Vary, R. Martin: Digital Speech Transmission, Wiley, 2006.

J. Benesty, M. M. Sondhi, Y. Huang: Handbook of Speech Processing, Springer, 2008.

D. Yu, L. Deng: Automatic Speech Recognition: A Deep Learning Approach, Springer, 2015.
Links
Language of instruction English
Duration (semesters) 1 Semester
Module frequency jährlich
Module capacity unlimited
Modullevel / module level MM (Mastermodul / Master module)
Modulart / typ of module Wahlpflicht / Elective
Lehr-/Lernform / Teaching/Learning method Vorlesung: 2 SWS, Übung: 2 SWS
Vorkenntnisse / Previous knowledge Introductory signals and systems lecture
Examination Prüfungszeiten Type of examination
Final exam of module
KL
Form of instruction Lecture
SWS 4
Frequency SoSe oder WiSe
Workload Präsenzzeit 56 h