Abstract

Compared to traditional speech, music, or sound processing, the computational analysis of general audio data has a relatively young research history. In particular, the extraction of affective information (ie, information that does not deal with the'immediate'nature of the content such as the spoken words or note events) from audio signals has become an important research strand with a huge increase of interest in academia and industry. At an early stage of this novel research direction, many analysis techniques and

Date

2014

Authors

Meinard Müller, Shrikanth S Narayanan, Björn Schuller

Journal

Dagstuhl Reports

Volume

3

Issue

11

Pages

1-28

Publisher

Schloss Dagstuhl–Leibniz-Zentrum für Informatik