Analyse des signaux de musique et de parole : méthodes et applications

education program·university course unit·announced·also: APM_4AI04_TP

Télécom Paris course in speech and music signal processing, source separation and deep-learning methods for audio.

Verified facts

Official site	https://synapses.telecom-paris.fr/catalogue/2026-2027/ue/2176/APM-4AI04-TP-analyse-des-signaux-de-musique-et-de-parole-methodes-et-applications ↗
Geography	Paris, France
course code	APM_4AI04_TP
price	Included in degree tuition; no separate fee stated
title	Analyse des signaux de musique et de parole : méthodes et applications
format	in_person
topics	music signal analysis; speech recognition and synthesis; source separation; NMF; deep learning for audio; time-frequency modification
duration	24 contact hours plus 24 estimated self-study hours
end date	2027-06-25
language	French; English
location	Télécom Paris
provider	Télécom Paris
recurrence	Annual 2026-2027 catalogue offering
start date	2027-04-26
instructors	Roland Badeau
program type	engineering course unit
prerequisites	Prior SPAI track courses or equivalent signal-processing preparation
program state	announced
target audience	Télécom Paris engineering and exchange students
learning outcomes	Implement speech recognition and synthesis methods; apply audio source separation; describe and implement deep-learning methods for audio
application deadline	unknown
credential or outcome	Course credit within the engineering degree; numeric grade on 20
scholarship and funding	No course-specific funding stated