PATENT CLAIM ANALYSIS

Application Number: 15963683
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-11
Patent Classification: ["704", "270000"]

Abstract:
Techniques for accurately recording sworn deposition testimony without use of a court reporter are described herein. According to these techniques, participants in a deposition or other legal proceeding are identified in such a manner that speech in one or more audio files representing the deposition can be associated with the respective participants. The association of participants with recorded speech is used to automatically generate an accurate transcript sequentially reflecting what was said at the deposition proceeding and by which of the respective participants.

Claim (Index 1):
A method, comprising:\n recording, using each microphone of a plurality of microphones, the content of a deposition, wherein the content of the deposition comprises a plurality of speech segments recorded by the plurality of microphones, wherein each of the plurality of microphones is associated with a deposition participant of a plurality of deposition participants; identifying, based on which microphone of the plurality of microphones each speech segment was recorded by, which deposition participant of the plurality of deposition participants is associated with each speech segment; generating, based on which deposition participant of the plurality of deposition participants is identified as associated with each speech segment, a document comprising a transcript of the deposition, wherein the transcript comprises a sequential identification of what content was spoken in each speech segment in written text, and which deposition participant of the plurality of deposition participants spoke the content in each speech segment.

Metadata:
- Claim Count in Document: 31.0
- Percentile: 91.0
- Lexical Diversity: 1.38095
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15546109', '13223652', '14732826', '11904955', '15548245']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2634537196373646
- 35 USC 102 Novelty (BERT): 0.4827152483040303
- Combined Prediction Score: 0.2853798725040312
- Mean Citation Score: 186.76926
- Max Citation Score: 195.38475
- Similarity Product: 138.69096756371854

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

Dataset: test