PATENT CLAIM ANALYSIS

Application Number: 15876778
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-08
Patent Classification: ["704", "233000"]

Abstract:
Disclosed herein are methods of diarizing audio data using first-pass blind diarization and second-pass blind diarization that generate speaker statistical models, wherein the first pass-blind diarization is on a per-frame basis and the second pass-blind diarization is on a per-word basis, and methods of creating acoustic signatures for a common speaker based only on the statistical models of the speakers in each audio session.

Claim (Index 2):
A method according to  claim 1 , further comprising using the meta data to select a topical linguistic model to create the speech to text transcription

Metadata:
- Claim Count in Document: 25.0
- Percentile: 86.0
- Lexical Diversity: 1.55814
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15006572', '15876534', '15006575', '15839190', '15254326']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3882297204704882
- 35 USC 102 Novelty (BERT): 0.5630684304432022
- Combined Prediction Score: 0.4057135914677596
- Mean Citation Score: 478.482726
- Max Citation Score: 529.2583599999998
- Similarity Product: 341.48892108702165

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