PATENT CLAIM ANALYSIS

Application Number: 16015777
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-02
Patent Classification: ["358", "001150"]

Abstract:
Disclosed is a communication disturbance analysis device, including: a hardware processor that: obtains a first recorded data created by recording a first communication sound at a transmitter in one facsimile communication and a second recorded data created by recording a second communication sound at a receiver in the one facsimile communication, detects a silence section from each of the first recorded data and the second recorded data; and specifies an extracted section to be extracted as a recoded data to be analyzed from the first recorded data and the second recorded data in accordance with the detected silence section.

Claim (Index 7):
The communication disturbance analysis device of  claim 1 , wherein in case that a first control signal transmitted at a start timing of the silence section by one of the transmitter and the receiver is not detected from the first recorded data or the second recorded data created at the other of the transmitter and the receiver, the hardware processor specifies a period since the one of the transmitter and the receiver transmits the first control signal until the other of the transmitter and the receiver transmits another control signal after the first control signal is transmitted, as the extracted section.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 94.0
- Lexical Diversity: 2.14286
- Patent Class: 358.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15789910', '10022293', '12560630', '15910742', '12155791']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5252214358409736
- 35 USC 102 Novelty (BERT): 0.5443936935531299
- Combined Prediction Score: 0.5271386616121893
- Mean Citation Score: 221.400256
- Max Citation Score: 391.6075
- Similarity Product: 282.7704934015871

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