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 1):
A method of blind diarization comprising:\n receiving audio data at a communication interface of a computing system, representing segments of the audio data according to respective feature vectors; clustering respective segments of the audio data according to the respective feature vectors, such that agglomerative clusters of similar feature vectors are gathered as super segments of the audio data; building respective voiceprint models for speakers from the super segments according to a size of respective agglomerative clusters; creating a background model from all segments associated with those feature vectors not representing a speaker; wherein building respective voiceprint models comprises:\n assigning a weighting value to the super segments of audio data, wherein the weighting value is proportional to a total number of super-segments in a respective agglomerative cluster; \n building respective Gaussian distributions of the super segments according to the respective weighting values in the respective agglomerative clusters; \n utilizing the Gaussian distributions as respective voice print models and using the voice print models with the background model to label the segments of audio data with an identification of one of the speakers or a different identification as background data.

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): 0.3301653505129275
- 35 USC 102 Novelty (BERT): 0.5979338597281049
- Combined Prediction Score: 0.3569422014344452
- Mean Citation Score: 471.088296
- Max Citation Score: 580.3118
- Similarity Product: 434.48035715284345

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