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 23):
The method of  claim 22 , further comprising, in response to authenticating the speaker of the first utterance as the enrolled user of the user device, transitioning, by the data processing hardware, operation of the user device from a low-power state to a more fully-featured state.

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): 0.3065907265681887
- 35 USC 102 Novelty (BERT): 0.5431853604646412
- Combined Prediction Score: 0.3302501899578339
- Mean Citation Score: 342.33521200000007
- Max Citation Score: 429.80032
- Similarity Product: 275.85852047180174

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