Machine learning model for mapping of music mood and human emotion based on physiological signals
Emotion is considered a physiological state that appears whenever a transformation is
observed by an individual in their environment or body. While studying the literature, it has …
observed by an individual in their environment or body. While studying the literature, it has …
Development of music emotion classification system using convolution neural network
Music emotion classification (MEC) is the multidisciplinary research area that is related to
perceive the emotions from the songs and label the songs with particular emotion classes …
perceive the emotions from the songs and label the songs with particular emotion classes …
Novel OGBEE-based feature selection and feature-level fusion with MLP neural network for social media multimodal sentiment analysis
S Bairavel, M Krishnamurthy - Soft Computing, 2020 - Springer
Numerous public networks, namely Instagram, YouTube, Facebook, Twitter, etc., share their
own feelings and idea as videotapes, posts, and pictures. In future research, adapting to …
own feelings and idea as videotapes, posts, and pictures. In future research, adapting to …
On the challenges of embedded real-time music information retrieval
Real-time applications of Music Information Retrieval (MIR) have been gaining interest as of
recently. However, as deep learning becomes more and more ubiquitous for music analysis …
recently. However, as deep learning becomes more and more ubiquitous for music analysis …
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 …
MusAV: A dataset of relative arousal-valence annotations for validation of audio models
We present MusAV, a new public benchmark dataset for comparative validation of arousal
and valence (AV) regression models for audio-based music emotion recognition. To gather …
and valence (AV) regression models for audio-based music emotion recognition. To gather …
Deep learning-based face mask detection using automated GUI for COVID-19
B Bhattarai, Y Raj Pandeya, J Lee - Proceedings of the 2021 6th …, 2021 - dl.acm.org
The COVID-19 pandemic has caused a global health crisis. In response, the World Health
Organization (WHO) has suggested wearing a face mask in public for effective protection …
Organization (WHO) has suggested wearing a face mask in public for effective protection …
A Dynamic Approach for Railway Semantic Segmentation
AR ALEXANDRESCU, A MANOLE - Studia Universitatis Babeș …, 2022 - 193.231.18.162
Railway semantic segmentation is the task of highlighting rail blades in images taken from
the ego-view of the train. Solving this task allows for further image processing on the rails …
the ego-view of the train. Solving this task allows for further image processing on the rails …
An incremental learning for plant disease classification
B Bhattarai, YR Pandeya, J Lee - … International Conference on …, 2021 - ieeexplore.ieee.org
Artificial neural networks suffer from catastrophic forgetting unlike humans when these
networks are trained on something new, which causes significant performance degradation …
networks are trained on something new, which causes significant performance degradation …
Evaluation of the Emotion Model in Electronic Music Based on PSO‐BP
T Guo - Computational Intelligence and Neuroscience, 2022 - Wiley Online Library
Electronic music can help people alleviate the pressure in life and work. It is a way to
express people's emotional needs. With the increase of the types and quantity of electronic …
express people's emotional needs. With the increase of the types and quantity of electronic …