PATENT CLAIM ANALYSIS

Application Number: 15920086
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-10
Patent Classification: ["381", "071400"]

Abstract:
An error path characteristic model correction control unit determines the deviation of the phase of an actual transfer function from the phase of an error path characteristic model, from a cross correlation between an error signal output from a microphone and a signal in which the error path characteristic model is applied to a noise cancellation sound to be output and a cross correlation between the error signal and a signal in which a transfer function having a phase characteristic deviating by +90 degrees from the phase characteristic of the error path characteristic model is applied to the noise cancellation sound. The error path characteristic model correction control unit then corrects the error path characteristic model so that the determined deviation is reduced to ±90 degrees.

Claim (Index 11):
The error path characteristic model correction method according to  claim 10 , wherein, in the error path characteristic model correcting step, a predetermined computation is performed to correct the error path characteristic model by an increment of 90 degrees, according to the difference in phase characteristic, the difference being determined in the phase characteristic difference determining step.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 90.0
- Lexical Diversity: 2.58
- Patent Class: 381.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['16075154', '12015219', '12649770', '12696862', '14856062']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7202768652770866
- 35 USC 102 Novelty (BERT): 0.4934241112475022
- Combined Prediction Score: 0.6975915898741282
- Mean Citation Score: 212.788574
- Max Citation Score: 218.82655
- Similarity Product: 155.2057637815565

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