PATENT CLAIM ANALYSIS

Application Number: 15910720
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["704", "232000"]

Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for obtaining, by a first sequence-training speech model, a first batch of training frames that represent speech features of first training utterances; obtaining, by the first sequence-training speech model, one or more first neural network parameters; determining, by the first sequence-training speech model, one or more optimized first neural network parameters based on (i) the first batch of training frames and (ii) the one or more first neural network parameters; obtaining, by a second sequence-training speech model, a second batch of training frames that represent speech features of second training utterances; obtaining one or more second neural network parameters; and determining, by the second sequence-training speech model, one or more optimized second neural network parameters based on (i) the second batch of training frames and (ii) the one or more second neural network parameters.

Claim (Index 13):
The method of  claim 2 , wherein training the multiple copies of the neural network in parallel comprises:\n obtaining an auxiliary function representing an approximation of a training objective function of a first copy of the neural network; and determining adjusted parameter values for the first copy of the neural network using the auxiliary function.

Metadata:
- Claim Count in Document: 27.0
- Percentile: 90.0
- Lexical Diversity: 3.88889
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14258139', '15013239', '15243838', '14983315', '15843047']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2693474347375303
- 35 USC 102 Novelty (BERT): 0.5722026938203425
- Combined Prediction Score: 0.2996329606458116
- Mean Citation Score: 303.553824
- Max Citation Score: 476.25327
- Similarity Product: 356.84255353236085

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