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 16):
The computer program product as recited in  claim 15 , wherein the received utterance uses a first word in place of a second word used in a first slot in the first utterance member;\n wherein the incremented evidence by the mistranscription analyzer is that the received utterance is evidence of a mistranscription replacing the second word for the first word.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 86.0
- Lexical Diversity: 2.43478
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15863938', '14186400', '14589540', '13008346', '14532208']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2424346275851917
- 35 USC 102 Novelty (BERT): 0.5716226413779322
- Combined Prediction Score: 0.2753534289644658
- Mean Citation Score: 255.59279
- Max Citation Score: 484.29202
- Similarity Product: 340.49092340034014

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