Contrastive audio-language learning for music
As one of the most intuitive interfaces known to humans, natural language has the potential
to mediate many tasks that involve human-computer interaction, especially in application …
to mediate many tasks that involve human-computer interaction, especially in application …
Music emotion recognition based on segment-level two-stage learning
N He, S Ferguson - International Journal of Multimedia Information …, 2022 - Springer
Abstract In most Music Emotion Recognition (MER) tasks, researchers tend to use
supervised learning models based on music features and corresponding annotation …
supervised learning models based on music features and corresponding annotation …
Music emotion recognition based on a neural network with an Inception-GRU residual structure
X Han, F Chen, J Ban - Electronics, 2023 - mdpi.com
As a key field in music information retrieval, music emotion recognition is indeed a
challenging task. To enhance the accuracy of music emotion classification and recognition …
challenging task. To enhance the accuracy of music emotion classification and recognition …
Multimodal music datasets? Challenges and future goals in music processing
The term “multimodal music dataset” is often used to describe music-related datasets that
represent music as a multimedia art form and multimodal experience. However, the term …
represent music as a multimedia art form and multimodal experience. However, the term …
Music Emotion Recognition Based on Deep Learning: A Review
X Jiang, Y Zhang, G Lin, L Yu - IEEE Access, 2024 - ieeexplore.ieee.org
In recent years, with the development of the digital era, music emotion recognition
technology has been widely used in the fields of music recommendation system, music …
technology has been widely used in the fields of music recommendation system, music …
Comparison and analysis of acoustic features of western and Chinese classical music emotion recognition based on VA model
X Wang, L Wang, L Xie - Applied Sciences, 2022 - mdpi.com
Music emotion recognition is increasingly becoming important in scientific research and
practical applications. Due to the differences in musical characteristics between Western …
practical applications. Due to the differences in musical characteristics between Western …
Multi-Modality in Music: Predicting Emotion in Music from High-Level Audio Features and Lyrics
T Krols, Y Nikolova, N Oldenburg - arXiv preprint arXiv:2302.13321, 2023 - arxiv.org
This paper aims to test whether a multi-modal approach for music emotion recognition
(MER) performs better than a uni-modal one on high-level song features and lyrics. We use …
(MER) performs better than a uni-modal one on high-level song features and lyrics. We use …
SATIN: a persistent musical database for music information retrieval and a supporting deep learning experiment on song instrumental classification
This paper introduces SATIN, the Set of Audio Tags and Identifiers Normalized. SATIN is a
database of 400k audio-related metadata and identifiers that aims at facilitating …
database of 400k audio-related metadata and identifiers that aims at facilitating …
Music emotion classification using a hybrid CNN-LSTM model
ВС Яковина, ВВ Корнієнко - Прикладні аспекти інформаційних …, 2023 - aait.od.ua
The emotional content of music, interwoven with the intricacies of human affect, poses a
unique challenge for computational recognition and classification. With the digitalization of …
unique challenge for computational recognition and classification. With the digitalization of …
Bimodal emotion recognition model for minnan songs
Most of the existing research papers study the emotion recognition of Minnan songs from the
perspectives of music analysis theory and music appreciation. However, these …
perspectives of music analysis theory and music appreciation. However, these …