Review of data features-based music emotion recognition methods

X Yang, Y Dong, J Li - Multimedia systems, 2018 - Springer
The ability of music to induce or convey emotions ensures the importance of its role in
human life. Consequently, research on methods for identifying the high-level emotion states …

Music emotion recognition: Toward new, robust standards in personalized and context-sensitive applications

JS Gómez-Cañón, E Cano, T Eerola… - IEEE Signal …, 2021 - ieeexplore.ieee.org
Emotion is one of the main reasons why people engage and interact with music. Songs can
express our inner feelings, produce goosebumps, bring us to tears, share an emotional state …

Ubiquitous affective computing: A review

R Assabumrungrat, S Sangnark… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
This review investigated research works on affective computing by using electrocardiogram
(ECG) and electrodermal activity (EDA). The 27 related research papers, including 23 from …

Develo** a benchmark for emotional analysis of music

A Aljanaki, YH Yang, M Soleymani - PloS one, 2017 - journals.plos.org
Music emotion recognition (MER) field rapidly expanded in the last decade. Many new
methods and new audio features are developed to improve the performance of MER …

The PMEmo dataset for music emotion recognition

K Zhang, H Zhang, S Li, C Yang, L Sun - … of the 2018 acm on international …, 2018 - dl.acm.org
Music Emotion Recognition (MER) has recently received considerable attention. To support
the MER research which requires large music content libraries, we present the PMEmo …

Supervised machine learning for audio emotion recognition: Enhancing film sound design using audio features, regression models and artificial neural networks

S Cunningham, H Ridley, J Weinel… - Personal and Ubiquitous …, 2021 - Springer
Abstract The field of Music Emotion Recognition has become and established research sub-
domain of Music Information Retrieval. Less attention has been directed towards the …

Towards a generalized hybrid deep learning model with optimized hyperparameters for malicious traffic detection in the Industrial Internet of Things

B Babayigit, M Abubaker - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Detecting malicious attacks in Industrial Internet of Things (IIoT) is crucial to minimize
downtime and financial losses. However, existing deep learning (DL) research faces …

A cross-cultural analysis of the influence of timbre on affect perception in western classical music and chinese music traditions

X Wang, Y Wei, L Heng, S McAdams - Frontiers in psychology, 2021 - frontiersin.org
Timbre is one of the psychophysical cues that has a great impact on affect perception,
although, it has not been the subject of much cross-cultural research. Our aim is to …

[HTML][HTML] Cross-language fake news detection

SKW Chu, R **e, Y Wang - Data and Information Management, 2021 - Elsevier
With increasing globalization, news from different countries, and even in different languages,
has become readily available and has become a way for many people to learn about other …

An efficient supervised framework for music mood recognition using autoencoder‐based optimised support vector regression model

G Agarwal, H Om - IET Signal Processing, 2021 - Wiley Online Library
Music is the art of 'language of emotions'. Recently, music mood recognition is an emerging
task. An efficient supervised framework for music mood recognition using autoencoder …