PATENT CLAIM ANALYSIS

Application Number: 16201758
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["709", "203000"]

Abstract:
A system and method for multi-language phrase identification within spoken interaction audio capable of adjusting for regional pronunciation (accents), cadence differences, and homologues. In this system, a spoken interaction audio data store supplies spoken audio data such as contact center call recordings to be analyzed for a specific phrase or set of phrases. Phrases are entered as natural language text and converted to the phonemes representative of the phrase audio using the invention's language packs and stored in a data store. Spoken interaction and phrase audio are converted to a digital format allowing comparison using multiple characteristics. Phrase matches are stored for subsequent post analysis display and analytics generation.

Claim (Index 4):
A method for phrase identification and usage display from recorded audio, the method comprising the steps of:\n (a) storing and retrieving language packs containing standard generated waveforms and regional packs containing specialty waveforms for regional pronunciations, cadence differences, and homologues; (b) receiving at least one audio stream containing at least one spoken interaction; (c) retrieving stored phoneme representations of at least one phrase pre-selected through use of a human selectable identifier to be of interest to an analyst reviewing the spoken interaction; (d) comparing the waveforms in the language packs and regional packs to a plurality of audio segments within the streams of spoken audio data to identify a plurality of phonemes for phrases pre-selected as of interest; (e) placing a reference for each found instance of each phrase pre-selected to be of interest into a metadata record for each spoken interaction; (f) displaying, upon request, each spoken interaction that includes a particular phrase pre-selected to be of interest to the analyst.

Metadata:
- Claim Count in Document: 41.0
- Percentile: 98.0
- Lexical Diversity: 1.6
- Patent Class: 709.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15478108', '09971012', '14067732', '14150628', '10399298']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2880697925114504
- 35 USC 102 Novelty (BERT): 0.4778668656384487
- Combined Prediction Score: 0.3070494998241502
- Mean Citation Score: 196.613928
- Max Citation Score: 204.04492
- Similarity Product: 152.24546916138172

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