PATENT CLAIM ANALYSIS

Application Number: 15989629
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["704", "235000"]

Abstract:
Disclosed herein are systems, methods, and non-transitory computer-readable storage media for assigning saliency weights to words of an ASR model. The saliency values assigned to words within an ASR model are based on human perception judgments of previous transcripts. These saliency values are applied as weights to modify an ASR model such that the results of the weighted ASR model in converting a spoken document to a transcript provide a more accurate and useful transcription to the user.

Claim (Index 10):
The method of  claim 9 , wherein a high saliency weight indicates a high predicted importance to the user.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 93.0
- Lexical Diversity: 1.53704
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15212908', '14287866', '13103665', '13926552', '13008346']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3079476216320614
- 35 USC 102 Novelty (BERT): 0.5291692511566203
- Combined Prediction Score: 0.3300697845845173
- Mean Citation Score: 285.084584
- Max Citation Score: 357.51102000000014
- Similarity Product: 253.98828930803424

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