3 accepted papers
One of the main challenges in speech emotion recognition is the lack of large labelled datasets. The progress in speech synthesis allows us to generate reliable and realistic expressive speech. In this work, we propose using a state-of-the-art end-to-end speech emotion conversion model to generate n…
Music listening context such as location or activity has been shown to greatly influence the users' musical tastes. In this work, we study the relationship between user context and audio content in order to enable context-aware music recommendation agnostic to user data. For that, we propose a semi-…
Extracting spatial information from an audio recording is a necessary step for upmixing stereo tracks to be played on surround systems. One important spatial feature is the perceived direction of the different audio sources in the recording, which determines how to remix the different sources in the…