Acoustic based speech analysis using deep learning models
US11495210B2 · kind B2 · utility
3Cited by
4References
20Claims
0Family size
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Key dates
| Filing date | Dec 11, 2019 |
| Grant date | Nov 8, 2022 |
| Priority date | — |
| Expiry date | Jan 19, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L25/30
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and system for detecting one or more speech features in speech audio data includes receiving speech audio data, performing preprocessing on the speech audio data to prepare the speech audio data for use as an input into one or more models that detect one or more speech features, providing the preprocessed speech audio data to a stacked machine learning model, and analyzing the preprocessed speech audio data via the stacked ML model to detect the one or more speech features. The stacked ML model includes a feature aggregation model, a sequence to sequence model, and a decision-making model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.