• Publications
  • Influence
MUSIC EMOTION RECOGNITION: A STATE OF THE ART REVIEW
This paper surveys the state of the art in automatic emotion recognition in music. Music is oftentimes referred to as a “language of emotion” [1], and it is natural for us to categorize music inExpand
  • 346
  • 28
A Comparative Study of Collaborative vs. Traditional Musical Mood Annotation
tl;dr
We compare the effectiveness of MoodSwings to a more traditional data collection method via Amazon’s Mechanical Turk (MTurk), 1 an online crowdsourcing engine. Expand
  • 56
  • 6
  • Open Access
Improving music emotion labeling using human computation
tl;dr
MoodSwings records dynamic (per-second) labels of players' mood ratings of music, in keeping with the unique time-varying nature of musical mood. Expand
  • 33
  • 3
  • Open Access
State of the Art Report: Music Emotion Recognition: A State of the Art Review
tl;dr
This paper surveys the state of the art in automatic emotion recognition in music, particularly focusing on methods that use contextual text information. Expand
  • 82
  • 1
  • Open Access
Teaching STEM concepts through Music Technology and DSP
tl;dr
The one-week Summer Music Technology (SMT) program at Drexel University introduces underclassmen high school students to music technology to reveal the influence and importance of engineering, science, and mathematics. Expand
  • 9
  • 1
  • Open Access
Relating Perceptual and Feature Space Invariances in Music Emotion Recognition
It is natural for people to organize music in terms of its emo- tional associations, but while this task is a natural process for humans, quantifying it empirically proves to be a very dicult task.Expand
  • 6
  • Open Access
Predicting Time-Varying Musical Emotion Distributions from Multi-Track Audio
Music exists primarily as a medium for the expression of emotions, but quantifying such emotional content empirically proves a very dicult task. Myriad features comprise emotion, and as such mu- sicExpand
  • 4
  • Open Access
An Audio Processing Library for MIR Application Development in Flash
tl;dr
We have developed the Audio-processing Library for Flash (ALF), providing developers with a library of common audio processing routines and affording Flash developers a degree of sound interaction previously unavailable through webbased platforms. Expand
  • 2
  • Open Access
Acoustic Features for Recognizing Musical Artist Influence
tl;dr
This paper presents two audio content-based systems for influence recognition: a system using a spectral representation (Constant-q transform) and support vector machines and another system that obtains features by using a deep belief network and logistic regression for classification. Expand
  • 1