Higher School of Economics

Elaborazione del linguaggio naturale

Higher School of Economics via Federica

Federica

10 Courses


The Higher School of Economics is Russia's premier institution for economic research and education, having campuses in Moscow, St. Petersburg, and Nizhny Novgorod. It provides undergraduate, graduate, and doctoral programs in economics, business, and social sciences.

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Overview

Explore the fascinating field of Natural Language Processing with the comprehensive course offered by the Higher School of Economics and provided by Federica. This course provides a detailed overview of technologies used in automatic processing of both written and spoken language, with a special focus on human-machine dialogue technologies.

Participants will gain fundamental insights into general linguistics, specifically acoustic phonetics, digital processing of speech signals, and handling of textual and spoken data derived from speech corpora. The course places an emphasis on voice technologies, including speech synthesis and recognition, alongside pertinent Machine Learning techniques such as Hidden Markov Models and structural language models (Grammars, N-grams, etc.).

The program wraps up with an in-depth discussion on human-machine dialogue models, introducing key systematic architectures for dialogue management, Voice-XML language, and tools and applications for dialogue systems. The final lecture explores current and future applications in the field.

Special thanks to Sanità Music Studio - Apogeo Records and their management for providing access to their recording studios and crew, which greatly assisted in the course production.

This course is categorized under Artificial Intelligence Courses and Machine Learning Courses, making it an excellent choice for individuals looking to deepen their understanding of these cutting-edge areas.

Syllabus


Taught by

Francesco Cutugno


Tags

europe

provider Federica

Federica

1 Courses


Federica

pricing Free Online Course
language Italian
duration 8 weeks
sessions On-Demand