Development and progress in sensors and technologies for human emotion recognition
With the advancement of human-computer interaction, robotics, and especially humanoid
robots, there is an increasing trend for human-to-human communications over online …
robots, there is an increasing trend for human-to-human communications over online …
Human emotion recognition and analysis in response to audio music using brain signals
Human emotion recognition using brain signals is an active research topic in the field of
affective computing. Music is considered as a powerful tool for arousing emotions in human …
affective computing. Music is considered as a powerful tool for arousing emotions in human …
Develo** 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 …
Music emotion recognition by using chroma spectrogram and deep visual features
Music has a great role and importance in human life since it has the ability to trigger or
convey feelings. As recognizing music emotions is the subject of many studies conducted in …
convey feelings. As recognizing music emotions is the subject of many studies conducted in …
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 …
Chord conditioned melody generation with transformer based decoders
For successful artificial music composition, chords and melody must be aligned well. Yet,
chord conditioned melody generation remains a challenging task mainly due to its …
chord conditioned melody generation remains a challenging task mainly due to its …
Multi-level local feature coding fusion for music genre recognition
WWY Ng, W Zeng, T Wang - IEEE Access, 2020 - ieeexplore.ieee.org
Music genre recognition (MGR) plays a fundamental role in the context of music indexing
and retrieval. Unlike images, music genres consist of immediate characteristics that are …
and retrieval. Unlike images, music genres consist of immediate characteristics that are …
DNN based music emotion recognition from raw audio signal
R Orjesek, R Jarina, M Chmulik… - 2019 29th International …, 2019 - ieeexplore.ieee.org
Music emotion is an important component in the field of music information retrieval and
computational musicology. Considering the complexity of the state-of-the-art methods and …
computational musicology. Considering the complexity of the state-of-the-art methods and …
An efficient supervised framework for music mood recognition using autoencoder‐based optimised support vector regression model
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 …
task. An efficient supervised framework for music mood recognition using autoencoder …