Uniphore Software Systems has filed a patent for a method and apparatus to detect incongruities in speech, such as in call center conversations. The processor compares sentiment and emotion scores of a speech portion, identifying incongruities if the scores do not correlate. GlobalData’s report on Uniphore Software Systems gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Uniphore Software Systems, Intelligent contact centers was a key innovation area identified from patents. Uniphore Software Systems's grant share as of January 2024 was 50%. Grant share is based on the ratio of number of grants to total number of patents.

Speech incongruity detection method based on sentiment and emotion scores

Source: United States Patent and Trademark Office (USPTO). Credit: Uniphore Software Systems Private Limited

The patent application (Publication Number: US20240005915A1) describes a method for detecting incongruities in speech by comparing sentiment and emotion scores. The method involves a processor analyzing text and tonal data of a speech portion to determine if the sentiment score aligns with the emotion score. If the scores do not correlate based on a predefined threshold, an incongruity is identified. The emotion and sentiment scores are on a uniform scale, typically between 0 and 1, with a threshold difference of about 0.7 triggering the detection of incongruity.

Furthermore, the patent application extends to a computing apparatus and a non-transitory computer-readable storage medium that can execute the method described above. The computing apparatus includes a processor and memory storing instructions to compare sentiment and emotion scores, convert speech to text, analyze audio for tonal data, and identify incongruities. Similarly, the computer-readable storage medium contains instructions for comparing scores, determining incongruities based on predefined thresholds, and ensuring that sentiment and emotion scores are on a uniform scale. This technology could have applications in various fields where detecting incongruities in speech is crucial, such as sentiment analysis, emotional recognition, and communication training.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.