- 专利标题: Device impairment detection
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申请号: US15718579申请日: 2017-09-28
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公开(公告)号: US10418050B2公开(公告)日: 2019-09-17
- 发明人: Klaus Hartung , Greg Bright
- 申请人: Sonos, Inc.
- 申请人地址: US CA Santa Barbara
- 专利权人: Sonos, Inc.
- 当前专利权人: Sonos, Inc.
- 当前专利权人地址: US CA Santa Barbara
- 代理机构: McDonnell Boehnen Hulbert & Berghoff LLP
- 主分类号: G10L25/30
- IPC分类号: G10L25/30 ; H04R27/00 ; H04R29/00 ; H04R3/04 ; H04S7/00 ; G06N3/02 ; G06N3/08
摘要:
Examples described herein involve detecting known impairments or other known conditions using a neural network. An example implementation receives a response matrix that represents, in respective dimensions, responses of a given playback device under respective iterations of a sound captured by a recording device, the iterations including first iterations with respective impairments to the recording device and second iterations without the respective impairments to the recording device. The implementation determines principle components representing the axes of greatest variance in the response matrix, a principle-component matrix that represents a given set of the principle components, and a teaching matrix by projecting the principle-component onto the response matrix. The implementation trains a neural network that includes an output layer comprising a neuron for each of the respective impairments by iteratively providing vectors of the teaching matrix to the neural network and stores the trained neural network on a computing system.
公开/授权文献
- US20180018991A1 Device Impairment Detection 公开/授权日:2018-01-18
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