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 1):
A speaker recognition system, comprising:\n a previously-trained joint neural network including an input layer configured to receive audiovisual data, and one or more hidden layers; a microphone configured to supply audio data to the input layer of the previously-trained joint neural network; a camera configured to supply video data to the input layer of the previously-trained joint neural network; an enrollment machine configured, during an enrollment phase, to:\n operate the microphone and the camera to supply audiovisual enrollment data featuring a newly enrolled speaker to the input layer of the previously-trained joint neural network; and \n extract an enrollment profile vector for the newly enrolled speaker, wherein the enrollment profile vector is extracted from a hidden layer of the previously-trained joint neural network based on the audiovisual enrollment data; and \n a recognition machine configured, during a recognition phase, to:\n operate the microphone and the camera to supply audiovisual test data featuring the newly enrolled speaker to the input layer of the previously-trained joint neural network; \n extract a test feature vector from the hidden layer of the previously-trained joint neural network based on the audiovisual test data; and \n compare the test feature vector to the enrollment profile vector extracted by the enrollment machine for the newly enrolled 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): 0.2603811626696531
- 35 USC 102 Novelty (BERT): 0.4769233561828256
- Combined Prediction Score: 0.2820353820209704
- Mean Citation Score: 187.065492
- Max Citation Score: 209.0483
- Similarity Product: 164.62647575282455

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