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Found 4 papers, 3 papers with code
Predicting emotion from music videos: exploring the relative contribution of visual and auditory information to affective responses
In this paper we present MusicVideos (MuVi), a novel dataset for affective multimedia content analysis to study how the auditory and visual modalities contribute to the perceived emotion of media.
Conditional Drums Generation using Compound Word Representations
The field of automatic music composition has seen great progress in recent years, specifically with the invention of transformer-based architectures.
Generating Lead Sheets with Affect: A Novel Conditional seq2seq Framework
In this paper, we present a novel approach for calculating the valence (the positivity or negativity of the perceived emotion) of a chord progression within a lead sheet, using pre-defined mood tags proposed by music experts.
DeepDrum: An Adaptive Conditional Neural Network
Considering music as a sequence of events with multiple complex dependencies, the Long Short-Term Memory (LSTM) architecture has proven very efficient in learning and reproducing musical styles.
