Multimodal sentiments have become the challenge for the researchers and are equally
sophisticated for an appliance to understand. One of the studies that support MS problems is …

Music is a powerful medium for altering the emotional state of the listener. In recent years,
with significant advancements in computing capabilities, artificial intelligence-based (AI …

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 …

While there are many music datasets with emotion labels in the literature, they cannot be
used for research on symbolic-domain music analysis or generation, as there are usually …

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 …

This paper presents an attempt to employ the mask language modeling approach of BERT
to pre-train a 12-layer Transformer model over 4,166 pieces of polyphonic piano MIDI files …

We propose and demonstrate a simple method to explain the figure of merit (FoM) of a music
information retrieval (MIR) system evaluated in a dataset, specifically, whether the FoM …

In this paper we present a new approach for the generation of multi-instrument symbolic
music driven by musical emotion. The principal novelty of our approach centres on …

Aiming at the shortcomings of single network classification model, this paper applies CNN‐
LSTM (convolutional neural networks‐long short‐term memory) combined network in the …

Fine-grained emotion classification for mood-and emotion-related physical-characteristics
detection and its application to computer technology using biometric sensors has been …