PATENT CLAIM ANALYSIS

Application Number: 15951218
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["704", "503000"]

Abstract:
Disclosed methods and apparatuses determine an inter-channel time difference of a multi-channel audio signal by determining a set of local maxima of a cross-correlation function involving at least two different channels of the multi-channel audio signal, for positive and negative time-lags and associating each local maximum with a corresponding time-lag. Local maximums for the positive and negative time-lags are selected from the set as respective positive and negative time-lag inter-channel correlation candidates. Processing also includes evaluating whether there is an energy-dominant channel, when the absolute value of a difference in amplitude between the inter-channel correlation candidates is smaller than a first threshold, and, when there is an energy-dominant-channel, identifying the sign of the inter-channel time difference and extracting a current value of the inter-channel time difference based on the time-lag corresponding to the positive or negative time-lag inter-channel correlation candidate.

Claim (Index 13):
The device of  claim 12 , wherein the processing circuitry is further configured to use the information used to determine whether there is a dominant channel, to identify the sign of the inter-channel time difference.

Metadata:
- Claim Count in Document: 53.0
- Percentile: 91.0
- Lexical Diversity: 1.89744
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13981035', '15350934', '15073068', '13980427', '14498613']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3008375834885378
- 35 USC 102 Novelty (BERT): 0.6265387748947474
- Combined Prediction Score: 0.3334077026291587
- Mean Citation Score: 401.23507200000006
- Max Citation Score: 600.1595
- Similarity Product: 516.5168299395144

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