PATENT CLAIM ANALYSIS

Application Number: 15908382
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-09
Patent Classification: ["704", "232000"]

Abstract:
According to a first aspect of the present disclosure, a method for facilitating detection of one or more time series patterns is conceived, comprising building one or more artificial neural networks, wherein, for at least one time series pattern to be detected, a specific one of said artificial neural networks is built, the specific one of said artificial neural networks being configured to produce a decision output and a reliability output, wherein the reliability output is indicative of the reliability of the decision output. According to a second aspect of the present disclosure, a corresponding computer program is provided. According to a third aspect of the present disclosure, a corresponding system for facilitating the detection of one or more time series patterns is provided.

Claim (Index 13):
A method as claimed in  claim 12 , wherein, for each speaker to be authenticated, an artificial neural network is built for detecting voiced speech segments of said speaker, and another artificial neural network is built for detecting unvoiced speech segments of said speaker.

Metadata:
- Claim Count in Document: 12.0
- Percentile: 88.0
- Lexical Diversity: 2.61538
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14624960', '10112069', '10630787', '14308054', '14513334']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2533483718032984
- 35 USC 102 Novelty (BERT): 0.478957272484811
- Combined Prediction Score: 0.2759092618714497
- Mean Citation Score: 146.881784
- Max Citation Score: 148.73944
- Similarity Product: 100.4977265479517

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