PATENT CLAIM ANALYSIS

Application Number: 15911965
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["704", "251000"]

Abstract:
A system for conducting a telephonic speech recognition application includes an automated telephone device for making telephonic contact with a respondent and a speech recognition device which, upon the telephonic contact being made, presents the respondent with at least one introductory prompt for the respondent to reply to; receives a spoken response from the respondent; and performs a speech recognition analysis on the spoken response to determine a capability of the respondent to complete the application. If the speech recognition device, based on the spoken response to the introductory prompt, determines that the respondent is capable of competing the application, the speech recognition device presents at least one application prompt to the respondent. If the speech recognition device, based on the spoken response to the introductory prompt, determines that the respondent is not capable of completing the application, the speech recognition system presents instructions on completing the application to the respondent.

Claim (Index 2):
The method of  claim 1  wherein said explanation includes at least one of a sample prompt and instructions on responding to the at least one prompt of said application.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 90.0
- Lexical Diversity: 2.92857
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13052412', '11273528', '11219593', '13717082', '09945282']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3307377291093534
- 35 USC 102 Novelty (BERT): 0.529896927515646
- Combined Prediction Score: 0.3506536489499827
- Mean Citation Score: 298.613084
- Max Citation Score: 360.8758
- Similarity Product: 239.02554800457955

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