Prediction-based communication latency elimination in a distributed virtualized orchestra
US10643593B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 4, 2019 |
| Grant date | May 5, 2020 |
| Priority date | — |
| Expiry date | Jun 4, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10H2250/311
- WIPO fieldOther consumer goods
- WIPO sectorOther fields
Abstract
Sequence predictors may be used to predict one or more entries in a musical sequence. The predicted entries in the musical sequence enable a virtual musician to continue playing a musical score based on the predicted entries when the occurrence of latency causes a first computing system hosting a first virtual musician to not receive entries or timing information for entries being performed in the musical sequence by a second computing system hosting a second virtual musician. The sequence predictors may be generated using a machine learning model generation system that uses historical performances of musical scores to generate the sequence predictor. Alternatively, or in addition, earlier portions of a musical score may be used to train the model generation system to obtain a prediction model that can predict later portions of the musical score.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.