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 44):
The system of  claim 35 , wherein the trained neural network comprises a deep neural network that is trained on data that characterizes utterances all having a fixed-length.

Metadata:
- Claim Count in Document: 35.0
- Percentile: 91.0
- Lexical Diversity: 2.0875
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14846187', '15666806', '14228469', '14612830', '15631995']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3332578360563047
- 35 USC 102 Novelty (BERT): 0.5437584329239545
- Combined Prediction Score: 0.3543078957430697
- Mean Citation Score: 342.33521200000007
- Max Citation Score: 429.80032
- Similarity Product: 259.4165962825394

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