The design of meaningful audio features is a key need to advance the state-of-the-art in
music emotion recognition (MER). This article presents a survey on the existing emotionally …

This work advances the music emotion recognition state-of-the-art by proposing novel
emotionally-relevant audio features. We reviewed the existing audio features implemented …

There has been little research on the acoustic correlates of emotional expression in the
singing voice. In this study, two pertinent questions are addressed: How does a singer's …

We present a set of novel emotionally-relevant audio features to help improving the
classification of emotions in audio music. First, a review of the state-of-the-art regarding …

We present an open-source software platform that transforms emotional cues expressed by
speech signals using audio effects like pitch shifting, inflection, vibrato, and filtering. The …

Current music emotion recognition (MER) systems rely on emotion data averaged across
listeners and over time to infer the emotion expressed by a musical piece, often neglecting …

Extensive research with musicians has shown that instrumental musical training can have a
profound impact on how acoustic features are processed in the brain. However, less is …

Recent advances in artificial speech synthesis and machine learning equip AI-powered
conversational agents, from voice assistants to social robots, with the ability to mimic human …

Voice range profile (VRP) and evaluation using the dysphonia severity index (DSI) represent
essentials of instrument‐based objective voice diagnostics and are implemented in different …

This research work addresses the problem of music emotion recognition using audio
signals. Music emotion recognition research has been gaining ground over the last two …