PATENT CLAIM ANALYSIS

Application Number: 16252353
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-07
Patent Classification: ["381", "086000"]

Abstract:
A training system ( 10 ) for a vehicle control unit for detecting hazard sounds, in particular accident sounds, that has at least one interface ( 12 ) for inputting training data ( 15 ) containing an audio signal ( 16 ) and a target reaction signal ( 18 ) in each case, an evaluation unit ( 20 ) that forms an artificial neural network ( 22 ) and is configured for forward propagation of the artificial neural network ( 22 ) with training data ( 14 ) in order to calculate an actual reaction signal ( 24 ), and calculating weightings through backward propagation of the target reaction signal ( 18 ) in the artificial neural network ( 22 ), wherein the weightings are configured to be stored in the vehicle control unit for detecting accident sounds.

Claim (Index 11):
A computer program that contains program code for executing the process according to  claim 8 .

Metadata:
- Claim Count in Document: 1.0
- Percentile: 99.0
- Lexical Diversity: 2.11765
- Patent Class: 381.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['11549699', '11953671', '13997123', '10151438', '14887564']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6863476943155872
- 35 USC 102 Novelty (BERT): 0.4966507273477626
- Combined Prediction Score: 0.6673779976188048
- Mean Citation Score: 149.6074
- Max Citation Score: 155.27223
- Similarity Product: 91.68123612160922

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