Para quién es esta clase: This course is primary aimed at advanced undergraduate or master students, along with professionals, interested in signal processing, programming and music.


Creada por:   Universitat Pompeu Fabra of Barcelona, Universidad de Stanford

  • Xavier Serra

    Enseñado por:    Xavier Serra, Associate Professor

    Dept. of Information and Communication Technologies, UPF

  • Prof Julius O Smith, III

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

    CCRMA
LevelIntermediate
Commitment10 weeks of study, 8 hours/week
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.9 stars
Average User Rating 4.9See what learners said
Programa

Preguntas Frecuentes
Cómo funciona
Trabajo del curso
Trabajo del curso

Cada curso es como un libro de texto interactivo, con videos pregrabados, cuestionarios y proyectos.

Ayuda de tus compañeros
Ayuda de tus compañeros

Conéctate con miles de estudiantes y debate ideas y materiales del curso, y obtén ayuda para dominar los conceptos.

Creadores
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.
Universidad de 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.
Calificaciones y revisiones
Calificado 4.9 de 5 65 calificaciones

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.