PATENT CLAIM ANALYSIS

Application Number: 16000742
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["704", "236000"]

Abstract:
A system and method are presented for predicting speech recognition performance using accuracy scores in speech recognition systems within the speech analytics field. A keyword set is selected. Figure of Merit (FOM) is computed for the keyword set. Relevant features that describe the word individually and in relation to other words in the language are computed. A mapping from these features to FOM is learned. This mapping can be generalized via a suitable machine learning algorithm and be used to predict FOM for a new keyword. In at least embodiment, the predicted FOM may be used to adjust internals of speech recognition engine to achieve a consistent behavior for all inputs for various settings of confidence values.

Claim (Index 5):
The method of  claim 1 , wherein at least steps (b), (c), and (d) are performed in real-time as more input is provided.

Metadata:
- Claim Count in Document: 18.0
- Percentile: 94.0
- Lexical Diversity: 1.60759
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13599297', '15291353', '14515607', '13554937', '15033959']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2990703555820823
- 35 USC 102 Novelty (BERT): 0.5423365654986866
- Combined Prediction Score: 0.3233969765737428
- Mean Citation Score: 252.32655600000004
- Max Citation Score: 397.4137
- Similarity Product: 279.4769408257365

Labels:
- Claim Label 101: 0
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test