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Speech Processing II
Sprachverarbeitung II
Last Updated: 2026-02-05 15:10:11
Abstract
Advanced course in text-to-speech synthesis and speech recognition(continuation of course speech processing I).
Objective
Detailed knowledge about selected concepts and approaches to the problems of speech synthesis (mainly transcription part) and automatic speech recognition.
Content
Fundamentals of representation and application of linguistic knowledge: Introduction of the theory of formal languages, the Chomsky hierarchy, word analysis, finite state machines, parsing. Speech synthesis: Natural language analysis (for words and sentences), lexicon, grammar for natural language; generation of the abstract representation of pronunciation (phone sequence, accents, phrases). Additionally, the ETH text-to-speech system SVOX is discussed. Speech recognition: The statistical approach to speech recognition with hidden Markov models is detailed: Basic algorithms (forward, Viterbi and Baum-Welch algorithm), problems of implementation, HMM training, whole vs. subword modeling, isolated word recognition, continuous speech recognition, statistical and rule-based language models.
Resources
Lecture Notes
Yes (available at the assistence in ETZ D97.5)
General Information
- Language
- German
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- oral 30 minutes
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture with exercise | Sprachverarbeitung II |
|
4 h weekly |