PATENT CLAIM ANALYSIS

Application Number: 16170278
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-02
Patent Classification: ["704", "235000"]

Abstract:
Systems and methods of diarization using linguistic labeling include receiving a set of diarized textual transcripts. A least one heuristic is automatedly applied to the diarized textual transcripts to select transcripts likely to be associated with an identified group of speakers. The selected transcripts are analyzed to create at least one linguistic model. The linguistic model is applied to transcripted audio data to label a portion of the transcripted audio data as having been spoken by the identified group of speakers. Still further embodiments of diarization using linguistic labeling may serve to label agent speech and customer speech in a recorded and transcripted customer service interaction.

Claim (Index 30):
A method of diarization of audio data from a customer service interaction between at least an agent and a customer, the method comprising:\n receiving a set of diarized textual transcripts of customer service interactions between at least an agent and a customer from a transcription server, wherein the diarized textual transcripts are grouped in pluralities comprising at least a transcript associated to the agent and a transcript associated to the customer, wherein the transcript associated to the agent and the transcript associated to the customer are from a singular customer service interaction; automatedly applying at least one heuristic to the diarized textual transcripts with a processor to select at least one of the transcripts in each plurality as being associated to the agent; analyzing the selected transcripts with the processor to create at least one linguistic model; saving the at least one linguistic model to a linguistic database server; and applying the linguistic model to new transcribed audio data with the processor to label a portion of the transcribed audio data as having been spoken by the agent, where in the new transcribed audio data is not diarized and a known speaker has not yet been associated with the new transcribed audio data.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 97.0
- Lexical Diversity: 1.7619
- Patent Class: 704.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14084976', '16170297', '16170289', '14084974', '15254326']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3557879668428436
- 35 USC 102 Novelty (BERT): 0.608579196380668
- Combined Prediction Score: 0.381067089796626
- Mean Citation Score: 453.5134440000001
- Max Citation Score: 540.5999
- Similarity Product: 529.4018251318337

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

Dataset: test