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 28):
The method of  claim 22 , further comprising, determining the speaker model for the enrolled user during the enrollment phase by:\n receiving, at the data processing hardware, the one or more enrollment utterances spoken by the enrolled user; inputting, by the data processing hardware, data characterizing each of the one or more enrollment utterances into the neural network to generate a respective enrolled speaker representation for each of the one or more enrollment utterances; and generating, by the data processing hardware, the speaker model for the enrolled user of the user device based on the respective enrolled speaker representation for each of the one or more enrollment utterances.

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): 0.3031871786299379
- 35 USC 102 Novelty (BERT): 0.5505138603916141
- Combined Prediction Score: 0.3279198468061055
- Mean Citation Score: 342.33521200000007
- Max Citation Score: 429.80032
- Similarity Product: 346.5167628765106

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