Master TAL - MSc. NLP
Course Unit
Speech Processing
UE
902
EC
EC1
Hours
24h
Course Description
This course aims to teach knowledge, statistical and neuromimetic modeling tools and the software used in the domain of automatic speech processing. The class first introduces speech signal processing concepts and then moves on to introduce hidden Markov models, deep neural network approaches which have more recently appeared. Lastly, we will discuss software used for the setup of real and synthetic automatic recognition systems.
Learning Outcome
- Identification and application of tools for speech processing
- Usage of speech recognition tools
Prerequisites
-
UE 704, UE 803 and UE 804
Targeted Skills
- Analyse a problem before treating it computationally
- Put to work different interdisciplinary skills to create innovative solutions.
- Know how to apply algorithmic techniques, linguistic analysis, statistics, and knowledge processing
More Informations
Bibliography
- To be completed
Course URL – Arche
- To be completed
Link with other courses
- to be completed
Evaluation procedures
Number of Tests
- to be completed
Nature of the tests
- to be completed
Group work
- to be completed
Combine with other specialization
- No