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 17):
A system of creating an acoustic signature, the system comprising:\n at least one computer connected for communication over a network and comprising a processor in data communication with memory storing computer readable commands configured to implement the following steps in a computerized process: receiving audio data at a communication interface of the computer on a frame by frame basis, 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 a speech to text transcription of the audio data; segmenting the audio data according to identified word sequences; clustering segments of the audio data according to the identified word sequences; applying an acoustical matching technique to one of the clusters of identified word sequences to identify at least one speaker generating at least one of the word sequences; and tagging identified speakers originating the identified word sequences.

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): 0.3777457276075663
- 35 USC 102 Novelty (BERT): 0.5898132408106671
- Combined Prediction Score: 0.3989524789278764
- Mean Citation Score: 478.482726
- Max Citation Score: 529.2583599999998
- Similarity Product: 460.0854952446173

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