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 36):
A system for diarization and labeling of audio data, the system comprising:\n An audio database server comprising a plurality of audio files; a transcription server that transcribes the audio files of the plurality of audio files into textual transcripts; a processor that receives a set of textual transcripts from the transcription serve and a set of audio files associated with the set of textual transcripts from the audio database server, performs a blind diarization of the set of textual transcripts and the set of audio files to segment and cluster the textual transcripts into a plurality of textual speaker clusters, wherein the number of textual speaker clusters is at least equal to a number of speakers in the textual transcript, automatedly applies at least one heuristic to the textual speaker clusters to select at least one of the textual speaker cluster as being associated to an identified group of speakers, and analyzes the selected transcripts to create at least one linguistic model indicative of the identified group of speakers; a linguistic database server that stores the at least one linguistic model; and an audio source that provides new transcribed audio data to the processor; wherein the processor applies the linguistic model to the new transcribed audio data to label a portion of the transcribed audio data as being associated with the identified group of speakers, wherein the new transcribed audio data has not been diarized and has not been associated with a group of speakers.

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): 0.3581369824861435
- 35 USC 102 Novelty (BERT): 0.6024608212813414
- Combined Prediction Score: 0.3825693663656633
- Mean Citation Score: 453.5134440000001
- Max Citation Score: 540.5999
- Similarity Product: 502.9865278368831

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