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 8):
A method for creating a plurality of acoustic signatures and for performing diarization, comprising:\n receiving audio data at a communication interface of a computing system, wherein at least one frame includes meta data regarding the audio data; selecting a model to create a speech to text transcription according to the metadata; creating the speech to text transcription of the audio data in accordance with the meta data; clustering respective segments of the audio data according to word sequences; classifying the segments to identify a set of common speaker Gaussian mixture models (GMMs) and a set of generic speaker GMMs, wherein the classifying includes constructing an undirected similarity graph having vertices corresponding to a plurality of speaker models of previously recorded audio sessions in a training set; wherein the classifying further includes determining with a processor in a computing system a degree of similarity between the corresponding vertices in the undirected similarity graph in relation to at least one threshold degree of similarity; generating an acoustic signature by at least: constructing a super-GMM for the set of common speaker GMMs, and constructing super-GMM for the set of generic speaker GMMs by generating a set of random vectors and training a GMM over these random vectors, wherein the acoustic signature for respective common speakers is given as a super-model pair of the two constructed super-GMMS; and storing the super-GMMs in a computing system memory; receiving additional audio data at the communication interface; identifying a respective common speaker using the super-model pair; and labeling the additional audio data with an identified common speaker label.

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): 0.3746885067534091
- 35 USC 102 Novelty (BERT): 0.597573615939129
- Combined Prediction Score: 0.3969770176719812
- Mean Citation Score: 478.482726
- Max Citation Score: 529.2583599999998
- Similarity Product: 494.9082406300663

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