Articulatory Event Scoring for Reliable Speech State Evaluation
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Solution Overview
Problem
Existing systems face challenges in accurately evaluating the physiological state of a subject based on speech analysis, particularly for conditions like Parkinson's disease, as they struggle to differentiate between speech units that are indicative of the condition.
Innovation Solution
A system that computes discrimination-effectiveness scores by analyzing articulatory event-types, such as phonemes, using same-state and cross-state distances, neuronal outputs, or speech models to determine the state of a subject, and can adapt to different languages through neural networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If speech analysis is performed using conventional methods, then the system can process speech data, but the accuracy of evaluating physiological states is insufficient because the system cannot differentiate between speech units that are indicative of the condition
Solution Approach 1:
The speech signal is segmented into discrete articulatory events (phonemes, syllables, words) that can be individually analyzed. Each articulatory event is treated as a separate unit with specific features (duration, frequency, amplitude) that can be measured and compared against reference values to detect physiological changes.
Solution Approach 2:
Different articulatory events are assigned different weights based on their diagnostic value for specific conditions. Speech units that are more indicative of the physiological condition being assessed receive higher weights in the analysis, allowing the system to focus computational resources on the most informative segments while maintaining overall system accuracy.
2Reliability
If the system analyzes all speech units equally, then the processing is simpler, but the reliability of disease state evaluation is reduced because indicative speech units are not differentiated
Solution Approach 1:
The system implements differential weighting where each articulatory event type (phoneme, syllable, word) is assigned a weight based on its diagnostic importance. This allows the system to reliably identify physiological conditions by emphasizing speech units that show characteristic changes in disease states while downplaying less informative units.
Solution Approach 2:
The system dynamically adjusts the weighting parameters for different articulatory events based on the specific physiological condition being assessed and the individual subject's baseline characteristics. This parameter adaptation enhances reliability by tailoring the analysis to the diagnostic requirements of each condition.
3Measurement precision
If the system uses differentiated weighting for speech units, then the accuracy of physiological state evaluation is improved, but the computational complexity increases
Solution Approach 1:
By segmenting speech into discrete articulatory events with defined features, the system enables efficient computational processing of each unit independently. The segmented structure allows for parallel processing and reduces the computational burden compared to analyzing the continuous speech signal as a whole.
Solution Approach 2:
The system optimizes computational efficiency by adjusting analysis parameters such as the level of detail for each articulatory event type and the threshold for detecting significant deviations from baseline. This allows the system to maintain high precision while adapting computational resource usage to the specific diagnostic needs.
Data Source
AI summary
A method includes, based on one or more representations of an articulatory event-type, computing, by a processor, a score quantifying an estimated degree to which an instance of the articulatory event-type indicates a state, with respect to a disease, in which the instance was produced. The method further includes storing or communicating the score for subsequent use in evaluating the state of a subject based on a test utterance produced by the subject. Other embodiments are also described.