PATENT CLAIM ANALYSIS

Application Number: 15920532
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["381", "056000"]

Abstract:
A sound quality determination device includes an acquisition unit acquiring an input sound, a frequency distribution calculation unit calculating a frequency distribution of the input sound acquired by the acquisition unit, a tilt calculation unit calculating a tilt indicating a change in intensity of an overtone with respect to a frequency based on the frequency distribution calculated by the frequency distribution calculation unit, a tilt comparison unit comparing the tilt calculated by the tilt calculation unit and a threshold related to the tilt, and a determination unit determining based on a result of comparison by the tilt comparison unit whether the input sound has a predetermined sound quality.

Claim (Index 8):
A computer-readable recording medium having recorded thereon a program for causing a computer to perform:\n acquiring an input sound; calculating a frequency distribution of the acquired input sound; calculating a tilt indicating a change in intensity of overtone with respect to frequency based on the calculated frequency distribution; comparing the calculated tilt and a threshold related to the tilt; and determining based on a result of comparison whether the input sound has a predetermined sound quality.

Metadata:
- Claim Count in Document: 35.0
- Percentile: 90.0
- Lexical Diversity: 2.56818
- Patent Class: 381.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15894291', '15884330', '13017458', '11355702', '12037036']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7186704966350806
- 35 USC 102 Novelty (BERT): 0.4855013450897746
- Combined Prediction Score: 0.69535358148055
- Mean Citation Score: 202.925512
- Max Citation Score: 218.13359
- Similarity Product: 169.1423291735339

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

Dataset: test