nireEHU 
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 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 % |
| Computer work practice, laboratory, site visits, field trips, external visits | 500.0 | 60 % |
| Lectures | 500.0 | 40 % |
| 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