Yann Teytaut

Humans have an impressive ability to communicate precise social intentions and desires with their voice — through vocal attitudes. Previous studies have shown how isolated acoustic features such as pitch can convey social attitudes, but have mostly worked with single attitudes and have not controlled for inter-speaker variability. Thus, the vocal b...

Machine learning techniques have proved useful for classifying and analyzing audio content. However, recent methods typically rely on abstract and high-dimensional representations that are difficult to interpret. Inspired by transformation-invariant approaches developed for image and 3D data, we propose an audio identification model based on learna...

Interspeech