A survey of audio-based music classification and annotation
Music information retrieval (MIR) is an emerging research area that receives growing
attention from both the research community and music industry. It addresses the problem of …
attention from both the research community and music industry. It addresses the problem of …
Machine recognition of music emotion: A review
The proliferation of MP3 players and the exploding amount of digital music content call for
novel ways of music organization and retrieval to meet the ever-increasing demand for easy …
novel ways of music organization and retrieval to meet the ever-increasing demand for easy …
Multi-label classification of music into emotions.
In this paper, the automated detection of emotion in music is modeled as a multilabel
classification task, where a piece of music may belong to more than one class. Four …
classification task, where a piece of music may belong to more than one class. Four …
[PDF][PDF] A survey of music recommendation systems and future perspectives
Along with the rapid expansion of digital music formats, managing and searching for songs
has become significant. Though music information retrieval (MIR) techniques have been …
has become significant. Though music information retrieval (MIR) techniques have been …
Novel audio features for music emotion recognition
This work advances the music emotion recognition state-of-the-art by proposing novel
emotionally-relevant audio features. We reviewed the existing audio features implemented …
emotionally-relevant audio features. We reviewed the existing audio features implemented …
[PDF][PDF] Lyric text mining in music mood classification
This research examines the role lyric text can play in improving audio music mood
classification. A new method is proposed to build a large ground truth set of 5,585 songs and …
classification. A new method is proposed to build a large ground truth set of 5,585 songs and …
[PDF][PDF] Prediction of Multidimensional Emotional Ratings in Music from Audio Using Multivariate Regression Models.
Content-based prediction of musical emotions and moods has a large number of exciting
applications in Music Information Retrieval. However, what should be predicted, and …
applications in Music Information Retrieval. However, what should be predicted, and …
Affective computing for large-scale heterogeneous multimedia data: A survey
The wide popularity of digital photography and social networks has generated a rapidly
growing volume of multimedia data (ie, images, music, and videos), resulting in a great …
growing volume of multimedia data (ie, images, music, and videos), resulting in a great …
The 2007 MIREX audio mood classification task: Lessons learned
Recent music information retrieval (MIR) research pays increasing attention to music
classification based on moods expressed by music pieces. The first Audio Mood …
classification based on moods expressed by music pieces. The first Audio Mood …
Music emotion recognition: From content-to context-based models
The striking ability of music to elicit emotions assures its prominent status in human culture
and every day life. Music is often enjoyed and sought for its ability to induce or convey …
and every day life. Music is often enjoyed and sought for its ability to induce or convey …