Speech Recognition
- Introduction
- Human speech production and perception
- Acoustic-phonetic analysis of speech
- Speech front-end processing for recognition
- Automatic speech recognition basics
- Dynamic programming and its application to ASR
- Hidden Markov models and their use in ASR
- Continuous speech recognition: acoustic modeling, language modeling, training and decoding in CSR etc.
- Some practical issues in ASR
- Use of neural networks in ASR
- Speaker recognition