PATENT CLAIM ANALYSIS

Application Number: 15911678
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["704", "241000"]

Abstract:
Disclosed herein are systems, methods, and computer-readable storage media for improving speech recognition accuracy using textual context. The method includes retrieving a recorded utterance, capturing text from a device display associated with the spoken dialog and viewed by one party to the recorded utterance, and identifying words in the captured text that are relevant to the recorded utterance. The method further includes adding the identified words to a dynamic language model, and recognizing the recorded utterance using the dynamic language model. The recorded utterance can be a spoken dialog. A time stamp can be assigned to each identified word. The method can include adding identified words to and/or removing identified words from the dynamic language model based on their respective time stamps. A screen scraper can capture text from the device display associated with the recorded utterance. The device display can contain customer service data.

Claim (Index 12):
The system of  claim 8 , wherein the identified words are associated with social media content.

Metadata:
- Claim Count in Document: 53.0
- Percentile: 90.0
- Lexical Diversity: 2.05195
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15146283', '14737708', '14061855', '12604628', '11380502']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.331839020182658
- 35 USC 102 Novelty (BERT): 0.5304862709511737
- Combined Prediction Score: 0.3517037452595096
- Mean Citation Score: 309.293388
- Max Citation Score: 365.1834
- Similarity Product: 274.6423948520064

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