Speech Analysis System for Accent Conformity Scoring
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Solution Overview
Problem
Current systems for accent training and monitoring are expensive, require individual attention, and are limited to specific phrases, making them inefficient for providing feedback on conformity to a desired accent in verbal interactions.
Innovation Solution
A system that records speech, creates a statistical model, and compares it to pre-defined models of different accent levels to provide a score on conformity, offering feedback to speakers and supervisors, and automatically identifies and adjusts accents in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional accent training machines are used, then specific phrases can be trained, but the system is limited to pre-selected phrases and cannot handle non pre-selected speech
Solution Approach 1:
The system segments the speech signal into multiple phonetic segments and creates statistical models for each segment type. This allows the system to handle any speech content by breaking it down into basic phonetic units that can be independently analyzed and compared against accent models, rather than requiring pre-selected phrases.
Solution Approach 2:
The statistical model comparison system serves multiple functions: it can analyze any speech content, identify accents, provide feedback on accent conformity, and work with both trained and untrained speakers. This universal approach replaces the need for multiple specialized machines for different phrases or languages.
2Measurement precision
If individual accent monitoring is provided, then feedback can be given to improve accent, but the process is expensive and time-consuming
Solution Approach 1:
The system automatically analyzes speech samples and generates feedback without requiring manual intervention from trainers or supervisors. The statistical model comparison performs self-evaluation of accent conformity, providing immediate feedback to speakers through automated scoring and identification of non-conforming segments.
Solution Approach 2:
The patent replaces manual human evaluation of accent with automated statistical analysis. Instead of human trainers listening and evaluating speech, the system uses computational algorithms to compare speech patterns against stored accent models, providing objective, consistent feedback instantly.
3Manufacturing precision
If human experts manually evaluate accent, then detailed feedback can be provided, but the cost and individual attention required increase
Solution Approach 1:
The system creates statistical models that copy and encapsulate the essence of accent patterns from expert recordings. These models contain the accent characteristics and can be repeatedly used for comparison without requiring the original experts to be involved in each evaluation, allowing unlimited analyses at the same quality level.
Solution Approach 2:
The system transforms qualitative accent evaluation into quantitative statistical parameters. By measuring acoustic parameters such as phonetic segment probabilities and comparing them against stored model parameters, the system provides precise, objective feedback that can be consistently reproduced without varying human judgment.
Data Source
AI summary
A system for providing automatic quality management regarding a level of conformity to a specific accent, including, a recording system, a statistical model database with statistical models representing speech data of different levels of conformity to a specific accent, a speech analysis system, a quality management system. Wherein the recording system is adapted to record one or more samples of a speakers speech and provide it to the speech analysis system for analysis, and wherein the speech analysis system is adapted to provide a score of the speakers speech samples to the quality management system by analyzing the recorded speech samples relative to the statistical models in the statistical model database.