Music categorization using rhythm, texture and pitch
US10623480B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 4, 2019 |
| Grant date | Apr 14, 2020 |
| Priority date | — |
| Expiry date | Mar 4, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/78
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for categorizing music based on a sample set of RTP scores (rhythm, texture and pitch) for predetermined pieces of music. Some RTP scores correspond to human-determined RTP scores. Each RTP score corresponds to a category among categories. Unless an unknown piece of music was previously RTP scored based on a unique identification, low-level data is extracted from the unknown piece and analyzed to identify RTP scores based on the sample set. The identified RTP scores are then used to categorize each piece of unknown music and playlists may be created based on the categories. Each RTP score corresponds to an intensity level within the corresponding category, which may also be used in creating playlists. The low-level data may be converted to mel-frequency cepstrum coefficient (MFCC) data that is input into a trained neural network to identify the RTP scores.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.