The lecture Fundamentals of Signal Processing for Automatic Speech Recognition focuses on acoustic signal processing. The lecture and exercises will provide insights into digital audio representations and discrete signal processing to understand acoustic feature extraction in speech recognition.
Frequency | Weekday | Time | Format / Place | Period |
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Module | Course | Requirements | |
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39-M-Inf-SSV Sprachsignalverarbeitung | Anwendungsorientierte Sprachverarbeitung | Student information | |
Anwendungsorientierte Sprachverarbeitung | Study requirement
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Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
Degree programme/academic programme | Validity | Variant | Subdivision | Status | Semester | LP | |
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Linguistik: Kommunikation, Kognition und Sprachtechnologie / Master | (Enrollment until WiSe 19/20) | 39-Inf-MaLinMSV | 4 |