PATENT CLAIM ANALYSIS

Application Number: 15876534
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
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 17):
A system according to  claim 15 , wherein the clustering is further based on respective time lengths of homogeneous speaker segments.

Metadata:
- Claim Count in Document: 30.0
- Percentile: 86.0
- Lexical Diversity: 1.55814
- Patent Class: 704.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15006575', '15006572', '15254326', '14319860', '15839190']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3539870091699548
- 35 USC 102 Novelty (BERT): 0.6082146778676427
- Combined Prediction Score: 0.3794097760397236
- Mean Citation Score: 471.088296
- Max Citation Score: 580.3118
- Similarity Product: 464.73027248103625

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

Dataset: test