Invention Grant
- Patent Title: Neural networks for identifying the potential of digitized audio to induce frisson in listeners
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Application No.: US15920283Application Date: 2018-03-13
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Publication No.: US10403304B1Publication Date: 2019-09-03
- Inventor: Jonathan A. Gatto , Asa W. Kaplan
- Applicant: Qbrio Studio, Inc.
- Applicant Address: US CA Los Angeles
- Assignee: QBRIO STUDIO, INC.
- Current Assignee: QBRIO STUDIO, INC.
- Current Assignee Address: US CA Los Angeles
- Agency: Klarquist Sparkman, LLP
- Main IPC: G10L25/30
- IPC: G10L25/30 ; G10L25/24 ; G10L25/48 ; G06N3/04 ; G06F5/01 ; G06N3/08 ; G06F17/14

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.
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