Invention Grant
- Patent Title: Systems, methods, and computer-readable media for improved audio feature discovery using a neural network
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Application No.: US16047058Application Date: 2018-07-27
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Publication No.: US11205443B2Publication Date: 2021-12-21
- Inventor: Etienne Thuillier , Hannes Gamper , Ivan Jelev Tashev
- Applicant: Microsoft Technology Licensing, LLC
- Applicant Address: US WA Redmond
- Assignee: Microsoft Technology Licensing, LLC
- Current Assignee: Microsoft Technology Licensing, LLC
- Current Assignee Address: US WA Redmond
- Agency: Faegre Drinker Biddle & Reath LLP
- Main IPC: G10L25/00
- IPC: G10L25/00 ; G10L25/51 ; G10L25/30 ; G06N3/04 ; G06N3/08 ; G10L15/16 ; G10L25/27

Abstract:
Systems, methods, and computer-readable storage devices are disclosed for improved audio feature discovery using a neural network. One method including: receiving a trained neural network model, the trained neural network configured to output an audio feature classification of audio data; deconstructing the trained neural network model to generate at least one saliency map, the at least one saliency map providing a successful classification of the audio feature; and extracting at least one visualization of the audio feature the trained neural network model relies on for classification based on the at least one saliency map.
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