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 realice un primer curso completo 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 | 200 | 300 | 500 |
| Applied computer-based groups | 400 | 600 | 1000 |
Training activities
| Name | Hours | Percentage of classroom teaching |
|---|
| Analysing and discussing papers | 250.0 | 80
%
|
| Lectures | 500.0 | 40
%
|
| Prácticas con ordenador, laboratorio, salidas de campo, visitas externas | 500.0 | 60
%
|
| Seminars | 250.0 | 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
