PATENT CLAIM ANALYSIS

Application Number: 15878113
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-05
Patent Classification: ["704", "232000"]

Abstract:
The disclosed technology teaches a deep end-to-end speech recognition model, including using multi-objective learning criteria to train a deep end-to-end speech recognition model on training data comprising speech samples temporally labeled with ground truth transcriptions. The multi-objective learning criteria updates model parameters of the model over one thousand to millions of backpropagation iterations by combining, at each iteration, a maximum likelihood objective function that modifies the model parameters to maximize a probability of outputting a correct transcription and a policy gradient function that modifies the model parameters to maximize a positive reward defined based on a non-differentiable performance metric which penalizes incorrect transcriptions in accordance with their conformity to corresponding ground truth transcriptions; and upon convergence after a final backpropagation iteration, persisting the modified model parameters learned by using the multi-objective learning criteria with the model to be applied to further end-to-end speech recognition.

Claim (Index 10):
The method of  claim 1 , wherein relative reliance on the maximum likelihood objective function and the policy gradient function shifts during training, with greater emphasis on the maximum likelihood objective function early in training than late in training.

Metadata:
- Claim Count in Document: 15.0
- Percentile: 86.0
- Lexical Diversity: 1.77647
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15358102', '15258799', '15397327', '15843047', '15258836']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2894797194248139
- 35 USC 102 Novelty (BERT): 0.524145500256123
- Combined Prediction Score: 0.3129462975079448
- Mean Citation Score: 244.84407
- Max Citation Score: 276.69717
- Similarity Product: 132.55663095431416

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