PATENT CLAIM ANALYSIS

Application Number: 15966667
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-11
Patent Classification: ["704", "232000"]

Abstract:
This document generally describes systems, methods, devices, and other techniques related to speaker verification, including (i) training a neural network for a speaker verification model, (ii) enrolling users at a client device, and (iii) verifying identities of users based on characteristics of the users' voices. Some implementations include a computer-implemented method. The method can include receiving, at a computing device, data that characterizes an utterance of a user of the computing device. A speaker representation can be generated, at the computing device, for the utterance using a neural network on the computing device. The neural network can be trained based on a plurality of training samples that each: (i) include data that characterizes a first utterance and data that characterizes one or more second utterances, and (ii) are labeled as a matching speakers sample or a non-matching speakers sample.

Claim (Index 35):
A system comprising:\n data processing hardware of a user device; memory hardware of the user device and in communication with the data processing hardware, the memory hardware storing instructions that when executed by the data processing hardware cause the data processing hardware to perform operations comprising:\n receiving data that characterizes a first utterance; \n generating a speaker representation for the utterance using a trained neural network, the speaker representation indicating distinctive features of a voice of a speaker of the first utterance; \n obtaining a speaker model for an enrolled user of the user device, the speaker model previously determined during an enrollment phase and characterizing distinctive features of a voice of the enrolled user based on one or more second utterances spoken by the enrolled user; \n determining whether a similarity score between the speaker representation for the first utterance and the speaker model for the enrolled user satisfies a similarity score threshold; and \n when the similarity score satisfies the similarity score threshold:\n authenticating the speaker of the first utterance as the enrolled user of the user device; and \n updating the speaker model for the enrolled user of the user device based on the first utterance.

Metadata:
- Claim Count in Document: 35.0
- Percentile: 91.0
- Lexical Diversity: 2.0875
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14846187', '15666806', '14228469', '14612830', '15631995']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3016592405971491
- 35 USC 102 Novelty (BERT): 0.553811909256438
- Combined Prediction Score: 0.326874507463078
- Mean Citation Score: 342.33521200000007
- Max Citation Score: 429.80032
- Similarity Product: 378.38254814392087

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