Syllabus
1. Theoretical bases of speech recognition, essential principles (GMM and HMM, language modelling)
2. Clasifiers - training and testing
3. Validation
4. Caret package in R
5. Binary clasification
6. Data preprocessing
7. Algorithms Random forest, SVM
8. Artificial neural networks
9. The significance of speech technology for phonetic research
Annotation
The course introduces theoretical and practical aspects of speech technology, with the focus on speech synthesis and recognition. It examines the state of this applied research area from both the phonetic and technical viewpoint.