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 12):
A system comprising:\n at least one microphone; a user interface device accessible: to at least one of a plurality of deposition participants; and an audio translation engine, comprising:\n an audio storage module configured to store at least one representation of audio recorded by the at least one microphone during a deposition proceeding; \n a speaker identification module configured to identify, in the audio recording, which of the plurality of deposition participants spoke one or more portions of the recorded audio; \n a speech-to-text module configured to convert speech of in the recorded audio into a textual representation of the speech; and \n a transcript generator module configured to generate a document representing a transcript of the deposition based on the converted speech and the identified which of the plurality of deposition participants spoke the one or more portions.

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): 0.2661302124741675
- 35 USC 102 Novelty (BERT): 0.4691570531449837
- Combined Prediction Score: 0.2864328965412492
- Mean Citation Score: 186.76926
- Max Citation Score: 195.38475
- Similarity Product: 158.05294289195538

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