PATENT CLAIM ANALYSIS

Application Number: 15965690
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-11
Patent Classification: ["704", "235000"]

Abstract:
The disclosed system continuously refines a model used by an Automatic Speech Recognition (ASR) system to enable fast and accurate transcriptions of detected speech activity. The ASR system analyzes speech activity to generate text transcriptions and associated metrics (such as minimum Bayes risk and/or perplexity) that correspond to the quality of or confidence in each generated transcription. The system employs a filtering process to select certain text transcriptions based in part on one or more associated quality metrics. In addition, the system corrects for known systemic errors within the ASR system and provides a mechanism for manual review and correction of transcriptions. The system selects a subset of transcriptions based on factors including confidence score, and uses the selected subset of transcriptions to re-train the ASR model. By continuously retraining the ASR model, the system is able to provide ever faster and more accurate text transcriptions of detected speech activity.

Claim (Index 11):
The system of  claim 8 , wherein the determined confidence score is a minimum Bayes risk (MBR) score or a perplexity score.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 91.0
- Lexical Diversity: 1.85227
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15172921', '15823074', '12732788', '15474440', '11063910']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2917891968017322
- 35 USC 102 Novelty (BERT): 0.5089947456014516
- Combined Prediction Score: 0.3135097516817041
- Mean Citation Score: 222.77353
- Max Citation Score: 239.29732
- Similarity Product: 141.90805916100982

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

Dataset: test