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 2):
A method according to  claim 1  further comprising:\n iteratively refining each voiceprint model on an audio segment by audio segment basis by calculating a log likelihood of the presence of the respective segments as fitting within either the voice print model or the background model. \n within each iteration, reassigning the segments of the audio data as fitting either one of the voiceprint models or the background model and repeating the step of utilizing the voice print models and the background models to label the segments.

Metadata:
- Claim Count in Document: 30.0
- Percentile: 86.0
- Lexical Diversity: 1.55814
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15006575', '15006572', '15254326', '14319860', '15839190']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3311597093737101
- 35 USC 102 Novelty (BERT): 0.5951271107953298
- Combined Prediction Score: 0.357556449515872
- Mean Citation Score: 471.088296
- Max Citation Score: 580.3118
- Similarity Product: 424.0305901654005

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

Dataset: test