Description

Title Building a sound corpus with perceptual representations
Abstract Sounds can often be interpreted in multiple ways, due to the different perceptions of recipients. However, tags in sound corpora do not directly relate to the acoustic features of sounds. Because of this limited representation of what can be heard in a sound, the ranking of search results is not optimal. In this research, we use crowdsourcing to build an annotated corpus of sounds from freesound.org with meaningful representations that are perceptually grounded.