Computational Analysis of Sound Scenes and Events

Part I. Foundations

1. Introduction to Sound Scene and Event Analysis
Tuomas Virtanen, Mark D. Plumbley, Dan Ellis

2. The Machine Learning Approach for Analysis of Sound Scenes and Events
Toni Heittola, Emre Çakır, Tuomas Virtanen

3. Acoustics and Psychoacoustics of Sound Scenes and Events
Guillaume Lemaitre, Nicolas Grimault, Clara Suied

Part II. Core Methods

4. Acoustic Features for Environmental Sound Analysis
Romain Serizel, Victor Bisot, Slim Essid, Gaël Richard

5. Statistical Methods for Scene and Event Classification
Brian McFee

6. Datasets and Evaluation
Annamaria Mesaros, Toni Heittola, Dan Ellis

Part III. Advanced Methods

7. Everyday Sound Categorization
Catherine Guastavino

8. Approaches to Complex Sound Scene Analysis
Emmanouil Benetos, Dan Stowell, Mark D. Plumbley

9. Multiview Approaches to Event Detection and Scene Analysis
Slim Essid, Sanjeel Parekh, Ngoc Q. K. Duong, Romain Serizel, Alexey Ozerov, Fabio Antonacci, Augusto Sarti

Part IV. Applications

10. Sound Sharing and Retrieval
Frederic Font, Gerard Roma, Xavier Serra

11. Computational Bioacoustic Scene Analysis
Dan Stowell

12. Audio Event Recognition in the Smart Home
Sacha Krstulović

13. Sound Analysis in Smart Cities
Juan Pablo Bello, Charlie Mydlarz, Justin Salamon

Part V. Perspectives

14. Future Perspective
Dan Ellis, Tuomas Virtanen, Mark D. Plumbley, Bhiksha Raj

Nyckelord: Engineering, Signal, Image and Speech Processing, Engineering Acoustics, Computer Appl. in Social and Behavioral Sciences, User Interfaces and Human Computer Interaction