PATENT CLAIM ANALYSIS

Application Number: 15762103
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["381", "086000"]

Abstract:
A vehicle sound effect generation apparatus generates a sound effect of an engine based on a vibration sound database including a fundamental wave sound having a fundamental frequency component and a plurality of adjustment wave sounds having a frequency component other than the fundamental frequency component. The vehicle sound effect generation apparatus includes a running state detecting unit that detects a running state of a vehicle, a sound effect generation unit that synthesizes the fundamental wave sound with the adjustment wave sounds based on the running state of the vehicle, and a visual guidance direction setting unit that sets a visual guidance direction at which a vehicle occupant shoots a look. The sound effect generation unit causes output characteristics of a sound effect in the visual guidance direction to increase more than output characteristics of a sound effect in a direction other than the visual guidance direction.

Claim (Index 5):
The vehicle sound effect generation apparatus according to  claim 3 , wherein the adjustment wave sound selector increases, as the lateral input amount is larger, a number of the adjustment wave sounds to be synthesized with the fundamental wave sound.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 90.0
- Lexical Diversity: 2.66667
- Patent Class: 381.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15761714', '15762104', '15762401', '14719574', '13076061']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7555157061289982
- 35 USC 102 Novelty (BERT): 0.5309871379375563
- Combined Prediction Score: 0.733062849309854
- Mean Citation Score: 280.56946
- Max Citation Score: 358.80695
- Similarity Product: 285.72500830773714

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

Dataset: test