PATENT CLAIM ANALYSIS

Application Number: 15759183
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["381", "111000"]

Abstract:
A method is provided for a correction of an audio signal (AS) which is formed using an electroacoustic transducer. The method comprises producing a corrected audio signal (CAS) based on the audio signal (AS) according to the formal I: in which the coefficient B amounts from −10 to 0 and the coefficient C amounts from 0 to 0.04.

Claim (Index 8):
A method of a recording of an acoustic signal (Sin) in a form of an audio signal using an electroacoustic transducer (r), characterized in that it comprises the steps of:\n a) producing a corrected audio signal (CAS) based on the audio signal (AS) generated by the electroacoustic transducer (r) in a response to a given acoustic signal (Sin) received by the transducer (r), according to the following formula I: CAS \ue8a0 ( t ) = AS \ue8a0 ( t ) + B \ue89e \u222b AS \ue8a0 ( t ) \ue89e dt + C \ue89e dAS \ue8a0 ( t ) dt ( I ) in which the coefficient B amounts from \u221210 to 0, preferably amounts from \u22125 to \u22121, and particularly preferably amounts about \u22123.2; the coefficient C amounts from 0 to 0.04, preferably amounts from 0.005 to 0.020; and particularly preferably amounts about 0.01; and b) storing the corrected audio signal (CAS) on a storage medium.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 90.0
- Lexical Diversity: 1.55814
- Patent Class: 381.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['13322777', '10781555', '13056251', '10502026', '12973283']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6508012935839224
- 35 USC 102 Novelty (BERT): 0.4861851423670096
- Combined Prediction Score: 0.634339678462231
- Mean Citation Score: 150.46706999999995
- Max Citation Score: 173.38483
- Similarity Product: 126.0165637479174

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

Dataset: test