Developing a benchmark for emotional analysis of music
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 …
methods and new audio features are developed to improve the performance of MER …
Recognition of emotion in music based on deep convolutional neural network
R Sarkar, S Choudhury, S Dutta, A Roy… - Multimedia Tools and …, 2020 - Springer
In the domain of music information retrieval, emotion based classification is an active area of
research. Emotion being a perceptual and subjective concept, the task is quite challenging …
research. Emotion being a perceptual and subjective concept, the task is quite challenging …
Towards explainable music emotion recognition: The route via mid-level features
Emotional aspects play an important part in our interaction with music. However, modelling
these aspects in MIR systems have been notoriously challenging since emotion is an …
these aspects in MIR systems have been notoriously challenging since emotion is an …
Music emotion recognition using recurrent neural networks and pretrained models
J Grekow - Journal of Intelligent Information Systems, 2021 - Springer
The article presents conducted experiments using recurrent neural networks for emotion
detection in musical segments. Trained regression models were used to predict the …
detection in musical segments. Trained regression models were used to predict the …
End-to-end music emotion variation detection using iteratively reconstructed deep features
R Orjesek, R Jarina, M Chmulik - Multimedia Tools and Applications, 2022 - Springer
Automatic music emotion recognition (MER) has received increased attention in areas of
music information retrieval and user interface development. Music emotion variation …
music information retrieval and user interface development. Music emotion variation …
Monophonic music generation with a given emotion using conditional variational autoencoder
J Grekow, T Dimitrova-Grekow - IEEE Access, 2021 - ieeexplore.ieee.org
The rapid increase in the importance of human-machine interaction and the accelerating
pace of life pose various challenges for the creators of digital environments. Continuous …
pace of life pose various challenges for the creators of digital environments. Continuous …
Music emotion recognition using a variant of recurrent neural network
H Liu, Y Fang, Q Huang - 2018 International Conference on …, 2019 - atlantis-press.com
Searching music by emotion has always been strongly needed by users. Since music
streaming applications usually have tens millions of music pieces in database, it is …
streaming applications usually have tens millions of music pieces in database, it is …
[PDF][PDF] The multiple voices of musical emotions: source separation for improving music emotion recognition models and their interpretability.
Despite the manifold developments in music emotion recognition and related areas,
estimating the emotional impact of music still poses many challenges. These are often …
estimating the emotional impact of music still poses many challenges. These are often …
A deep bidirectional long short-term memory based multi-scale approach for music dynamic emotion prediction
X Li, H Xianyu, J Tian, W Chen, F Meng… - … on Acoustics, Speech …, 2016 - ieeexplore.ieee.org
Music Dynamic Emotion Prediction is a challenging and significant task. In this paper, We
adopt the dimensional valence-arousal (VA) emotion model to represent the dynamic …
adopt the dimensional valence-arousal (VA) emotion model to represent the dynamic …
Expressway exit traffic flow prediction for ETC and MTC charging system based on entry traffic flows and LSTM model
Z Chen, B Wu, B Li, H Ruan - IEEE Access, 2021 - ieeexplore.ieee.org
The Expressway (controlled-access highways) of China is the longest in the world and plays
an important role in people's daily life. Accurate short-term traffic prediction is essential for …
an important role in people's daily life. Accurate short-term traffic prediction is essential for …