Neural networks for identifying the potential of digitized audio to induce frisson in listeners
US10403304B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 13, 2018 |
| Grant date | Sep 3, 2019 |
| Priority date | — |
| Expiry date | Mar 13, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L25/48
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and apparatus are disclosed for generating predictions of tendencies of a waveform segment to induce frisson. In one example, a method includes producing Mel-frequency cepstral coefficients corresponding to an audio waveform, dividing the waveform into a plurality of segments that have been tagged with a value indicating a likelihood that the segment will produce a frisson response in a listener, and training a neural network with the Mel-frequency cepstral coefficients and the segment tag values to generate predictions of a tendency of a waveform segment to induce frisson. In some examples, the method further includes displaying a visualization of the waveform, wherein the visualization indicates how likely portions of the visualized waveform are to induce frisson.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.