PATENT CLAIM ANALYSIS

Application Number: 16171093
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-05
Patent Classification: ["704", "257000"]

Abstract:
A method for using speech disfluencies detected in speech input to assist in interpreting the input is provided. The method includes providing access to a set of content items with metadata describing the content items, and receiving a speech input intended to identify a desired content item. The method further includes detecting a speech disfluency in the speech input and determining a measure of confidence of a user in a portion of the speech input following the speech disfluency. If the confidence measure is lower than a threshold value, the method includes determining an alternative query input based on replacing the portion of the speech input following the speech disfluency with another word or phrase. The method further includes selecting content items based on comparing the speech input, the alternative query input (when the confidence measure is low), and the metadata associated with the content items.

Claim (Index 47):
The system of  claim 39 , wherein the control circuitry is further configured to:\n determine the second portion of the first word as a subset of the speech input commencing at the beginning of the speech input and ending at a first period of silence in the speech input.

Metadata:
- Claim Count in Document: 59.0
- Percentile: 97.0
- Lexical Diversity: 2.37879
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13801837', '15693162', '14271869', '15277288', '13801812']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2873397794884948
- 35 USC 102 Novelty (BERT): 0.5638803643898465
- Combined Prediction Score: 0.31499383797863
- Mean Citation Score: 329.726218
- Max Citation Score: 460.9988
- Similarity Product: 326.1690621138573

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

Dataset: test