Music mood detection based on audio and lyrics with deep neural net
R Delbouys, R Hennequin, F Piccoli… - arxiv preprint arxiv …, 2018 - arxiv.org
We consider the task of multimodal music mood prediction based on the audio signal and
the lyrics of a track. We reproduce the implementation of traditional feature engineering …
the lyrics of a track. We reproduce the implementation of traditional feature engineering …
Natural music evokes correlated EEG responses reflecting temporal structure and beat
The brain activity of multiple subjects has been shown to synchronize during salient
moments of natural stimuli, suggesting that correlation of neural responses indexes a brain …
moments of natural stimuli, suggesting that correlation of neural responses indexes a brain …
Transformer-based approach towards music emotion recognition from lyrics
The task of identifying emotions from a given music track has been an active pursuit in the
Music Information Retrieval (MIR) community for years. Music emotion recognition has …
Music Information Retrieval (MIR) community for years. Music emotion recognition has …
[CARTE][B] Music similarity and retrieval: an introduction to audio-and web-based strategies
This book provides a summary of the manifold audio-and web-based approaches to music
information retrieval (MIR) research. In contrast to other books dealing solely with music …
information retrieval (MIR) research. In contrast to other books dealing solely with music …
Moodylyrics: A sentiment annotated lyrics dataset
Music emotion recognition and recommendations today are changing the way people find
and listen to their preferred musical tracks. Emotion recognition of songs is mostly based on …
and listen to their preferred musical tracks. Emotion recognition of songs is mostly based on …
Multi-modal music emotion recognition: A new dataset, methodology and comparative analysis
We propose a multi-modal approach to the music emotion recognition (MER) problem,
combining information from distinct sources, namely audio, MIDI and lyrics. We introduce a …
combining information from distinct sources, namely audio, MIDI and lyrics. We introduce a …
Multi-emotion classification for song lyrics
D Edmonds, J Sedoc - Proceedings of the eleventh workshop on …, 2021 - aclanthology.org
Song lyrics convey a multitude of emotions to the listener and powerfully portray the
emotional state of the writer or singer. This paper examines a variety of modeling …
emotional state of the writer or singer. This paper examines a variety of modeling …
[PDF][PDF] Musical texture and expressivity features for music emotion recognition
We present a set of novel emotionally-relevant audio features to help improving the
classification of emotions in audio music. First, a review of the state-of-the-art regarding …
classification of emotions in audio music. First, a review of the state-of-the-art regarding …
Emotion analysis of songs based on lyrical and audio features
A Jamdar, J Abraham, K Khanna, R Dubey - arxiv preprint arxiv …, 2015 - arxiv.org
In this paper, a method is proposed to detect the emotion of a song based on its lyrical and
audio features. Lyrical features are generated by segmentation of lyrics during the process …
audio features. Lyrical features are generated by segmentation of lyrics during the process …
Emotion-aware music tower blocks (EmoMTB ): an intelligent audiovisual interface for music discovery and recommendation
Music listening has experienced a sharp increase during the last decade thanks to music
streaming and recommendation services. While they offer text-based search functionality …
streaming and recommendation services. While they offer text-based search functionality …