PATENT CLAIM ANALYSIS

Application Number: 16022026
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-11
Patent Classification: ["704", "232000"]

Abstract:
A speaker recognition system includes a previously-trained joint neural network. An enrollment machine of the speaker recognition system is configured to operate the previously-trained joint neural network to enroll a new speaker based on audiovisual data featuring the newly enrolled speaker. A recognition machine of the speaker recognition system is configured to operate the previously-trained joint neural network to recognize a previously-enrolled speaker based on audiovisual data featuring the previously-enrolled speaker.

Claim (Index 5):
The speaker recognition system of  claim 1 , wherein the enrollment profile vector is extracted from a bottleneck hidden layer of the joint neural network which is a most downstream hidden layer immediately connected to the output layer of the joint neural network.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 94.0
- Lexical Diversity: 2.3871
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15966667', '15013580', '16006405', '14281373', '14612830']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2840901953644673
- 35 USC 102 Novelty (BERT): 0.4783646102418831
- Combined Prediction Score: 0.3035176368522089
- Mean Citation Score: 187.065492
- Max Citation Score: 209.0483
- Similarity Product: 166.03693863385917

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

Dataset: test