Automatic music mood detection
US7115808B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 2, 2005 |
| Grant date | Oct 3, 2006 |
| Priority date | — |
| Expiry date | Nov 2, 2025 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10H2240/085
- WIPO fieldOther consumer goods
- WIPO sectorOther fields
Abstract
A system and methods use music features extracted from music to detect a music mood within a hierarchical mood detection framework. A two-dimensional mood model divides music into four moods which include contentment, depression, exuberance, and anxious/frantic. A mood detection algorithm uses a hierarchical mood detection framework to determine which of the four moods is associated with a music clip based on the extracted features. In a first tier of the hierarchical detection process, the algorithm determines one of two mood groups to which the music clip belongs. In a second tier of the hierarchical detection process, the algorithm then determines which mood from within the selected mood group is the appropriate, exact mood for the music clip. Benefits of the mood detection system include automatic detection of music mood which can be used as music metadata to manage music through music representation and classification.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.