Continuation course in the FR 111-FR112 elementary sequence. It enables students to develop novice-high proficiency in French in interpersonal, interpretive, and presentational modes of communication as well as intercultural competence.
This course is an introduction to the art and science of computer programming and to some of the fundamental concepts of computer science. Students will write programs in the Python programming language. Good program design methodology will be stressed throughout. There will also be a study of some of the basic notions of computer science, including computer systems organization, files and some algorithms of fundamental importance.
The course delves into linguistic diversity, examines the causes behind language decline, and explores the efforts made by researchers and activists to address these challenges. Participants engage in documenting and preserving the critically endangered Formosan languages. The curriculum covers fundamental machine learning techniques like automatic speech recognition, machine translation, and optical character recognition. Additionally, it introduces core computational linguistics methods for language characterization and underscores the unique scientific importance of the Formosan languages within linguistic diversity.
In this course, we are exploring speech processing and speech recognition methods. The content of the course encompasses the following topics: Speech feature extraction, pattern matching, statistical acoustic modelling, neural networks and their application for ASR, Text-To-Speech and dialogue systems. For this course the students are required to work on two projects. The first one consists into the creation of a speech corpus for speech recognition purposes. The second project consists of the training a state-of-the-art model of speech recognition (whisper or wav2vec).