PATENT CLAIM ANALYSIS

Application Number: 15875126
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["381", "094200"]

Abstract:
A system that performs noise estimation for an audio adjustment application comprises a coherence calculator that determines at least one coherence value between microphone signals generated by at least two microphones that each independently senses acoustic energy in a listening space. A first microphone of the at least two microphones generates a first microphone signal from the acoustic energy and a second microphone of the at least two microphones generates a second microphone signal from the acoustic energy. The acoustic energy comprises a combination of an audio signal transduced by one or more speakers and environmental noise of the acoustic energy that is local to the listening space. A noise estimate computation processor determines an estimate of a level of the environmental noise based on the at least one coherence value.

Claim (Index 5):
The sound adjustment system of  claim 1 , wherein the sound adjustment system determines an amount of energy in the first and second microphone signals that is attributable to the environmental noise, and wherein a coherence corresponding to the at least one coherence value is related to an energy level of the first and second microphone signals.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 86.0
- Lexical Diversity: 2.25
- Patent Class: 381.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15282652', '14035662', '15592755', '12636432', '13157238']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6810148966034052
- 35 USC 102 Novelty (BERT): 0.5659989003446617
- Combined Prediction Score: 0.6695132969775309
- Mean Citation Score: 259.705006
- Max Citation Score: 444.25546
- Similarity Product: 391.8616883888817

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 0

Dataset: test