Subject

XSL Content

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

NameWeight
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

TypeFace-to-face hoursNon face-to-face hoursTotal hours
Lecture-based100150250
Applied computer-based groups200300500

Training activities

NameHoursPercentage of classroom teaching
Analysing and discussing papers125.080 %
Lectures250.040 %
Prácticas con ordenador, laboratorio, salidas de campo, visitas externas250.060 %
Seminars125.080 %

Assessment systems

NameMinimum weightingMaximum weighting
Drawing up reports and presentations25.0 % 25.0 %
Practical tasks25.0 % 25.0 %
Written examination50.0 % 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