Skip to main navigation
Skip to search
Skip to main content
Hong Kong Baptist University Home
Help & FAQ
Link opens in a new tab
Search content at Hong Kong Baptist University
Home
Scholars
Departments / Units
Research Output
Projects / Grants
Prizes / Awards
Activities
Student theses
Datasets
Music emotion retrieval based on acoustic features
James Jie Deng
*
, C. H.C. Leung
*
Corresponding author for this work
Department of Computer Science
Research output
:
Chapter in book/report/conference proceeding
›
Conference proceeding
›
peer-review
3
Citations (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Music emotion retrieval based on acoustic features'. Together they form a unique fingerprint.
Sort by:
Weight
Alphabetically
Keyphrases
Acoustic Features
100%
Two-layer
100%
Music Emotion
100%
Emotion Model
100%
Retrieval-based
100%
Music Emotion Retrieval
100%
Multi-class
50%
External Layer
50%
Arousal-valence
50%
Psychic
50%
Retrieval Practice
50%
Weighting Scheme
50%
Timbre
50%
Multinomial
50%
Complex Emotions
50%
Retrieval Approach
50%
Label Model
50%
Tonality
50%
Arousal-valence Model
50%
Hierarchical Framework
50%
State of Mind
50%
Spiritual Aspects
50%
Emotion Retrieval
50%
Computer Science
Information Retrieval
100%
Acoustic Feature
100%
Experimental Result
50%
Extracted Feature
50%
retrieval performance
50%
External Layer
50%
High Level State
50%