Relaxed instance frequency normalization for neural-network-based audio processing
US12266379B2 · kind B2 · utility
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Key dates
| Filing date | Oct 3, 2022 |
| Grant date | Apr 1, 2025 |
| Priority date | — |
| Expiry date | Jul 25, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/0464
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques and apparatus for training a neural network to classify audio into one of a plurality of categories and using such a trained neural network. An example method generally includes receiving a data set including a plurality of audio samples. A relaxed feature-normalized data set is generated by normalizing each audio sample of the plurality of audio samples. A neural network is trained to classify audio into one of a plurality of categories based on the relaxed feature-normalized data set, and the trained neural network is deployed.
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