Subject
LCT at the University of Lorraine (France)
General details of the subject
- Mode
- Face-to-face degree course
- Language
- English
Description and contextualization of the subject
El estudiante realiza las asignaturas del 2º curso en la misma.Competencies
Name | Weight |
---|---|
Manejar las herramientas informáticas básicas para el procesado y tratamiento de la señal de voz así como para la creación de recursos de voz. | 100.0 % |
Study types
Type | Face-to-face hours | Non face-to-face hours | Total hours |
---|---|---|---|
Lecture-based | 100 | 150 | 250 |
Applied computer-based groups | 200 | 300 | 500 |
Training activities
Name | Hours | Percentage of classroom teaching |
---|---|---|
Analysing and discussing papers | 125.0 | 80 % |
Computer work practice, laboratory, site visits, field trips, external visits | 250.0 | 60 % |
Lectures | 250.0 | 40 % |
Seminars | 125.0 | 80 % |
Assessment systems
Name | Minimum weighting | Maximum weighting |
---|---|---|
Drawing up reports and presentations | 25.0 % | 25.0 % |
Practical tasks | 25.0 % | 25.0 % |
Written examination | 50.0 % | 50.0 % |
Learning outcomes of the subject
* Medir e interpretar los principales parámetros que caracterizan la señal de voz.* Manejar herramientas de análisis y procesado de la señal de voz.
* Desarrollar un sistema básico de reconocimiento del habla.
Temary
* Probabilities, Statistics And Algorithms For Ai* Design And Acquistion Of Corpus
* Software Engineering
* Linguistics For Nlp (1)
* Project And Foreign Language
* Machine Learning And Semantic Web
* Formal Tools
* Data Science
* Linguistics For Nlp (2)
* Project And Foreign Language
* Deep Learning And Data Mining
* Text And Speech Processing
* Natural Language Processing And Discourses
* Lexicon And Grammars For Nlp
* Projects And Foreign Language