In this paper, we propose a model that consists of four main modules to classify the emotion of Minnan songs by using the bimodal data—song lyrics and audio ...
Mar 2, 2020 · In the proposed model, an attention-based Long Short-Term Memory (LSTM) neural network is applied to extract lyrical features, and a ...
Abstract: Most of the existing research papers study the emotion recognition of Minnan songs from the perspectives of music analysis theory and music ...
In the proposed model, an attention-based Long Short-Term Memory (LSTM) neural network is applied to extract lyrical features, and a Convolutional Neural ...
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Most of the existing research papers study the emotion recognition of Minnan songs from the perspectives of music analysis theory and music appreciation.
Bimodal Emotion Recognition Model for Minnan Songs. Information 2020, 11, 145. https://doi.org/10.3390/info11030145. AMA Style. Xiang Z, Dong X, Li Y, Yu F ...
I am a young researcher in the School of Physics and Information Engineering at Minnan Normal University - MiyaWu.
This work proposes a new end-to-end method for recognizing emotions of tracks from their acoustic signals and lyrics via multimodal deep neural networks and ...
A method is proposed to detect the emotion of a song based on its lyrical and audio features and applies feature weighting and stepwise threshold reduction ...
Sep 5, 2021 · In this paper, we propose a model that consists of four main modules to classify the emotion of Minnan songs by using the bimodal data—song ...