PATENT CLAIM ANALYSIS

Application Number: 16170278
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-02
Patent Classification: ["704", "235000"]

Abstract:
Systems and methods of diarization using linguistic labeling include receiving a set of diarized textual transcripts. A least one heuristic is automatedly applied to the diarized textual transcripts to select transcripts likely to be associated with an identified group of speakers. The selected transcripts are analyzed to create at least one linguistic model. The linguistic model is applied to transcripted audio data to label a portion of the transcripted audio data as having been spoken by the identified group of speakers. Still further embodiments of diarization using linguistic labeling may serve to label agent speech and customer speech in a recorded and transcripted customer service interaction.

Claim (Index 28):
The method of  claim 21 , wherein the textual speaker clusters are associated in groups of at least two, wherein the group of at least two includes a textual speaker cluster originating from the identified group of speakers and at least one textual speaker cluster originating from an other speaker, and wherein the non-selected textual speaker clusters are assumed to have originated from an other speaker.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 97.0
- Lexical Diversity: 1.7619
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14084976', '16170297', '16170289', '14084974', '15254326']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3878532254309553
- 35 USC 102 Novelty (BERT): 0.5997247550771486
- Combined Prediction Score: 0.4090403783955746
- Mean Citation Score: 453.5134440000001
- Max Citation Score: 540.5999
- Similarity Product: 481.7400040714026

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