# US 2021/0280207 A1 · Verbal language analysis

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- Number: US 2021/0280207 A1
- Document ID: US20210280207A1
- Status: Published application
- Kind: A1
- Application number: 17/191,445
- Filed: 2021-03-03
- Published: 2021-09-09
- Earliest claimed: 2020-03-03
- Assignees: Vrbl LLC
- Applicants: Vrbl LLC
- Inventors: Spencer Neil Pisczak; Chandler Emerson Pisczak; James Buery Stevenson
- Web page: https://patentgrep.com/patent/US20210280207A1

## CPC

- G10L 25/06: the extracted parameters being correlation coefficients
- G10L 25/48: specially adapted for particular use
- G06F 3/167: {Audio in a user interface, e.g. using voice commands for navigating, audio feedback}
- G06F 40/20: Natural language analysis (semantic analysis of natural language G06F40/30)
- G06N 20/00: Machine learning
- G10L 15/16: using artificial neural networks
- G10L 15/26: Speech to text systems (G10L15/08 takes precedence)
- H04M 3/5175: {Call or contact centers supervision arrangements}
- G06F 40/30: Semantic analysis
- G06Q 30/0201: Market modelling; Market analysis; Collecting market data
- G06Q 30/0203: Market surveys; Market polls
- H04M 2203/357: Autocues for dialog assistance
- G10L: SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N)
- G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- H04M: TELEPHONIC COMMUNICATION (circuits for controlling other apparatus via a telephone cable and not involving telephone switching apparatus G08)
- G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR

## Abstract

Verbal language analysis is provided to users. The user enrolls or subscribes for verbal language analysis or analytics. The user carries out or conducts a conversation with a third party. An intelligence device associated with the user records the conversation. The intelligence device performs verbal language analysis on the conversation. The verbal language analysis generates individual metrics for verbal factors of energy, word count, inflection, tone (e.g. pitch and sentiment), rate, and/or the like. A verbal intelligence index is determined from the individual metrics using aggregation, averaging, weighted averaging, and/or the like. An interface component generates views to display to the user for review of the conversation to facilitate better verbal performance during current and in future conversations.

## Claims

### Claim 1

A method, comprising:
capturing a conversation between a user and a third party;
analyzing the conversation according to verbal language analysis for the user; and
generating a dashboard that provides analytics to the user for review.

### Claim 2 (depends on 1)

The method of claim 1, comprising:
wherein the verbal language analysis includes calculating a verbal intelligence index based on data factors.

### Claim 3 (depends on 2)

The method of claim 2, comprising:
wherein the verbal intelligence index is a score metric based on the data factors, the data factors including at least one of energy, words, inflection, tone, or rate.

### Claim 4 (depends on 2)

The method of claim 2, comprising:
wherein the verbal intelligence index is based in part on correlation data, wherein the correlation data is based in party on feedback provided from previous conversations of the user.

### Claim 5 (depends on 4)

The method of claim 4, comprising:
acquiring the feedback from the previous conversations, wherein the acquiring comprises:
receiving the feedback from the user and a recipient of the previous conversation;
determining correlations between the feedback and the data factors; and
constructing the correlation data based on the determined correlations.

### Claim 6 (depends on 5)

The method of claim 5, comprising:
determining a prediction model based on the correlation data; and
determining the verbal intelligence index based on the prediction model.

### Claim 7 (depends on 6)

The method of claim 6, wherein constructing the correlation data comprises:
applying a machine learning structure to the feedback and the data factors to construct the correlation data.

### Claim 8 (depends on 2)

The method of claim 2, wherein determining the verbal intelligence index comprises:
determining demographic information of the third party; and
determining the verbal intelligence index based on the demographic information.

### Claim 9 (depends on 2)

The method of claim 2, comprising:
wherein determining the verbal intelligence index is based on an autocorrelating algorithm, wherein the autocorrelating algorithm is tuned according to machine learned settings to capture intonations.

### Claim 10

A system, comprising:
one or more processors;
a memory storing one or more instructions that, when executed by the one or more processors, cause the one or more processors to perform a method comprising:
capture a conversation between a user and a third party;
analyze the conversation according to verbal language analysis for the user; and
generate a dashboard that provides analytics to the user for review.

### Claim 11 (depends on 10)

The system of claim 10, the method comprising:
wherein the verbal language analysis includes calculating a verbal intelligence index based on data factors.

### Claim 12 (depends on 11)

The system of claim 11, the method comprising:
wherein the verbal intelligence index is a score metric based on the data factors, the data factors including at least one of energy, words, inflection, tone, or rate.

### Claim 13 (depends on 11)

The system of claim 11, the method comprising:
wherein the verbal intelligence index is based in part on correlation data, wherein the correlation data is based in party on feedback provided from previous conversations of the user.

### Claim 14 (depends on 13)

The system of claim 13, the method comprising:
acquiring the feedback from the previous conversations, wherein the acquiring comprises:
receiving the feedback from the user and a recipient of the previous conversation;
determining correlations between the feedback and the data factors; and
constructing the correlation data based on the determined correlations.

### Claim 15 (depends on 14)

The system of claim 14, the method comprising:
determining a prediction model based on the correlation data; and
determining the verbal intelligence index based on the prediction model.

### Claim 16 (depends on 15)

The system of claim 15, wherein constructing the correlation data comprises:
applying a machine learning structure to the feedback and the data factors to construct the correlation data.

### Claim 17 (depends on 11)

The system of claim 11, wherein determining the verbal intelligence index comprises:
determining demographic information of the third party; and
determining the verbal intelligence index based on the demographic information.

### Claim 18 (depends on 11)

The system of claim 11, the method comprising:
wherein determining the verbal intelligence index is based on an autocorrelating algorithm, wherein the autocorrelating algorithm is tuned according to machine learned settings to capture intonations.

### Claim 19

A computer readable medium having instructions to control one or more processors configured to:
capture a conversation between a user and a third party;
analyze the conversation according to verbal language analysis for the user; and
generate a dashboard that provides analytics to the user for review.

### Claim 20 (depends on 19)

The computer readable medium of claim 19, wherein the one or more processors are further configured to:
wherein the verbal language analysis includes calculating a verbal intelligence index based on data factors, and wherein the verbal intelligence index is a score metric based on the data factors, the data factors including at least one of energy, words, inflection, tone, or rate.