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 16):
The method of  claim 15 , further comprising, in the training phase:\n supplying, to the input layer of a joint neural network, a labelled input vector of the plurality of labelled input vectors; operating the joint neural network to predict whether the audiovisual data corresponds to the exemplary human speaker, where the prediction is based on the audiovisual data and not based on the label; and updating trainable parameters of the joint neural network to improve a confidence of the joint neural network in predicting whether the audiovisual data corresponds to the exemplary human speaker.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 94.0
- Lexical Diversity: 2.3871
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15966667', '15013580', '16006405', '14281373', '14612830']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2585122260057689
- 35 USC 102 Novelty (BERT): 0.4867596403271944
- Combined Prediction Score: 0.2813369674379115
- Mean Citation Score: 187.065492
- Max Citation Score: 209.0483
- Similarity Product: 148.35316540923716

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