PATENT CLAIM ANALYSIS

Application Number: 15863937
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-07
Patent Classification: ["704", "235000"]

Abstract:
A mistranscription generated by a speech recognition system is identified. A set of known utterance members is provided for use by a speech recognition system. Each utterance member consists of a respective plural number of words. A received utterance is matched to a first utterance member within the set of known utterance members. The first utterance member is a closest matching utterance member and has a first plural number of words. The matching operation matches fewer than the first plural number of words in the received utterance and the received utterance varies in a first particular manner as compared to a first word in a first slot in the first utterance member. The received utterance is sent to a mistranscription analyzer component which increments evidence that the received utterance is evidence of a mistranscription. Once the incremented evidence for the mistranscription exceeds a threshold, future received utterances containing the mistranscription are treated as though the first word was recognized.

Claim (Index 7):
The method as recited in  claim 2 , further comprising incrementing evidence, by the mistranscription analyzer, that the received utterance is evidence of a mistranscription of the second word for the first word each time the received utterance is matched to the first utterance member so that with each received utterance where the second word is transcribed in place of the first word in the received utterance, the greater the evidence that is accumulated for the mistranscription.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 86.0
- Lexical Diversity: 2.43478
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15863938', '14186400', '14589540', '13008346', '14532208']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2223165946389192
- 35 USC 102 Novelty (BERT): 0.5659771072026771
- Combined Prediction Score: 0.256682645895295
- Mean Citation Score: 255.59279
- Max Citation Score: 484.29202
- Similarity Product: 321.31713787354823

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