phy677 - Speech processing (Complete module description)
| Module label | Speech processing |
| Modulkürzel | phy677 |
| Credit points | 6.0 KP |
| Workload | 180 h
( 180 h (Präsenzzeit 56h, Selbststudium: 124h) )
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| Institute directory | Institute of Physics |
| Verwendbarkeit des Moduls |
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| Zuständige Personen |
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| 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. |
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| Language of instruction | English |
| Duration (semesters) | 1 Semester |
| Module frequency | jährlich |
| Module capacity | unlimited |
| Examination | Prüfungszeiten | Type of examination |
|---|---|---|
| Final exam of module | KL |
| Lehrveranstaltungsform | Lecture |
| SWS | 4 |
| Frequency | SoSe oder WiSe |
| Workload Präsenzzeit | 56 h |
