Speech Terminology Homologization for Multilingual Animal Characterization

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Existing technologies face challenges in efficiently collecting and standardizing data from disparate sources to facilitate accurate analysis, particularly in characterizing subjects such as livestock, due to variations in language and dialect.

Innovation Solution

An apparatus and method that utilize audio processing circuitry to identify languages and homologize terms in audio data sets, assigning them to predefined meanings, enabling common characterizations across multiple languages and dialects, and storing these meanings in association with the linked animals.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual observation and monitoring is used to track characteristics, then data collection can be performed, but the process is inefficient and challenging to standardize across disparate sources

Engineering Contradiction:

Improvedata collection efficiencyVSAvoiddata standardization complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent introduces an intermediary processing system that includes language identification modules and term homologization circuits. These intermediaries automatically translate and standardize terms from different languages and dialects into common characterizations, eliminating the need for manual standardization while improving efficiency and reducing complexity in data collection processes

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent replaces manual observation and monitoring processes with automated audio processing circuitry and machine learning models. The system automatically detects animal conditions from audio recordings, identifies languages, and homologizes terms without human intervention, thereby improving productivity and reducing the complexity of manual standardization

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Adaptability or versatility

If data is collected from disparate sources with different languages and dialects, then comprehensive monitoring can be achieved, but accurate analysis becomes challenging

Engineering Contradiction:

Improvemulti-language capabilityVSAvoiddata analysis accuracy

Core Design Contradiction:

Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The patent performs preliminary processing by automatically identifying languages and homologizing terms before data analysis. The system pre-processes audio data from multiple languages, converting diverse terminology into standardized characterizations, which ensures accurate analysis while maintaining multi-language adaptability

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent changes the parameter of term representation by transforming diverse linguistic terms into a unified set of common characterizations. This parameter transformation allows the system to maintain versatility across languages while ensuring measurement precision through standardized data representation for analysis

Inventive Principle:

Principle #35Parameter changes

3Reliability

If terms from different languages are manually standardized, then data consistency can be improved, but the process is time-consuming and labor-intensive

Engineering Contradiction:

Improvedata consistencyVSAvoidstandardization time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The patent implements self-service standardization where the system automatically identifies languages and homologizes terms without human intervention. The machine learning models and processing circuits perform standardization independently, ensuring data consistency while eliminating the time-consuming manual standardization process

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent enables continuous automated standardization processing that operates without interruption. The system continuously processes audio data, identifies languages, and homologizes terms in real-time, providing uninterrupted standardization service that maintains reliability while eliminating manual processing time

Inventive Principle:

Principle #20Continuity of useful action

Data Source

PatentUS20250363979A1Characterization via homologizing disparate speech terminology

Publication Date: 2025.11.27 WISCONSIN ALUMNI RES FOUND

AI summary

Aspects of the present disclosure are directed to methods and apparatuses involving characterization via homologizing disparate speech terminology. As may be implemented in accordance with one or more embodiments, audio processing circuitry is utilized to identify a respective language used for audio data sets. Homologizing circuitry is operable to homologize terms in the audio data sets for characterizing animals to which respective ones of the audio data sets are linked, by assessing and assigning terms in the respective audio data sets to respective homologized meanings based on the identified language for the audio data sets and an association between terms in the identified language for each audio data set and the homologized meaning. The homologized meanings may be in association with one of the animals to which the audio data set is linked, therein facilitating common characterizations of the animals utilizing disparate languages and terms.