PATENT CLAIM ANALYSIS

Application Number: 16209814
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-04
Patent Classification: ["381", "303000"]

Abstract:
A method for creating a model of reflective surfaces in a listening environment that may be applied to noise cancellation for a network of AVB/TSN loudspeaker components. A coordinator determines co-planarity and estimates orientation of all echoes of a stimulus by using recorded precise times of arrival, determined angles of arrival and the known, or estimated, locations of each loudspeaker component. The coordinator groups reflection points into planar regions based on co-planarity and estimated orientations to determine a location of each reflective surface in the listening environment thereby creating a model of all of the reflective surfaces in the listening environment.

Claim (Index 1):
A method carried out by a processor having a non-transitory storage medium for storing program code, the method comprising the steps of:\n a. designating one loudspeaker component in a listening environment having a network of AVB/TSN loudspeaker components to be a coordinator, each loudspeaker component has a first array of microphones on a first plane and at least a second array of microphones on a second plane perpendicular to the first plane, a location of each loudspeaker component in the listening environment is known to each of the other loudspeaker components; b. the coordinator assigning a start time to one of the loudspeaker components in the network of AVB/TSN loudspeaker components; c. the one loudspeaker component emitting a stimulus at the assigned start time; d. recording, at each loudspeaker component, a precise time of arrival of the stimulus; e. passing the precise time of arrival of the stimulus recorded at each loudspeaker component to the coordinator; f. determining, at each loudspeaker component, an angle of arrival of the stimulus; g. passing the angle of arrival of the stimulus determined at each loudspeaker component to the coordinator; h. recording, at each loudspeaker component, a precise time of arrival for each echo of the stimulus; i. passing the precise time of arrival of each echo of the stimulus recorded at each loudspeaker component to the coordinator; j. determining, at each loudspeaker component, an angle of arrival of each echo of the stimulus; k. passing the angle of arrival of each echo determined at each loudspeaker component to the coordinator; l. continuing the steps of recording a precise time of arrival for each echo of the stimulus and determining an angle of arrival for each echo of the stimulus for a predetermined amount of time that allows each echo's precise time of arrival to be recorded and passed to the coordinator and each echo's angle of arrival to be determined and passed to the coordinator; m. repeating the steps (a)-(l) until each loudspeaker in the network of AVB/TSN loudspeakers has emitted a stimulus and all of the recorded precise times of arrival and determined angles of arrival have been passed to the coordinator; n. determining, at the coordinator, co-planarity and estimating orientation of the echoes using the recorded precise time of arrival, determined angles of arrival and the known locations of each loudspeaker component; o. grouping, at the coordinator, reflection points into planar regions based on co-planarity and estimated orientations to determine a location of each reflective surface in the listening environment; and p. creating, at the coordinator, a model of all of the reflective surfaces in the listening environment.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 98.0
- Lexical Diversity: 1.69841
- Patent Class: 381.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15690322', '13801636', '10970123', '11355171', '12099144']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6885241693233509
- 35 USC 102 Novelty (BERT): 0.5420300098383312
- Combined Prediction Score: 0.6738747533748489
- Mean Citation Score: 210.41397200000003
- Max Citation Score: 388.0536
- Similarity Product: 311.4628392834664

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test