Les destinataires de ce cours : This course is primary aimed at advanced undergraduate or master students, along with professionals, interested in signal processing, programming and music.


Créé par :   Universitat Pompeu Fabra of Barcelona, Université Stanford

  • Xavier Serra

    Enseigné par :    Xavier Serra, Associate Professor

    Dept. of Information and Communication Technologies, UPF

  • Prof Julius O Smith, III

    Enseigné par :    Prof Julius O Smith, III, Professor of Music and (by courtesy) Electrical Engineering

    CCRMA
NiveauIntermediate
Engagement10 weeks of study, 8 hours/week
Langue
English
Comment réussirRéussissez tous les devoirs notés pour terminer le cours.
Notes des utilisateurs
4.9 stars
Average User Rating 4.9Voir ce que disent les étudiants
Programme de cours

FAQ
Comment cela fonctionne
Travail en cours
Travail en cours

Chaque cours fonctionne comme un manuel interactif en proposant des vidéos préenregistrées, des quiz et des projets.

Aide de la part de vos pairs
Aide de la part de vos pairs

Connectez-vous à des milliers d'autres étudiants et débattez sur des idées, discutez le contenu du cours et obtenez de l'aide pour en maîtriser les concepts.

Créateurs
Universitat Pompeu Fabra of Barcelona
Pompeu Fabra University (UPF) is a modern public university, conveniently located in the centre of Barcelona (Spain) with the aim of providing top quality education and standing out as a research-based university. UPF is both a specialised university with a unique teaching model and a cutting-edge research institution. UPF places a strong emphasis on quality teaching, based on comprehensive education and student-centred learning, and innovation in the learning processes. UPF’s MOOCs are produced within this general goal.
Université Stanford
The Leland Stanford Junior University, commonly referred to as Stanford University or Stanford, is an American private research university located in Stanford, California on an 8,180-acre (3,310 ha) campus near Palo Alto, California, United States.
Notation et examens
Note moyenne 4.9 sur 5 sur 69 notes

I learned a lot and had fun at the same time

good course . If there will any Speech recognition course it will useful > Hope Coursera will start speech recognition course in future .

Very well presented and thorough investigation into spectrogram, STFT and reconstruction techniques. Enjoying thanks.

I learned a lot during this course. It took quite a lot of time and energy to complete it, but I'm glad I did. It is now much easier to follow the text of Richard Lyons' book. Highly recommended.