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SPATS: Speech Perception Assessment and Training System.

James D Miller¹, Charles S Watson, Diane Kewley-Port

¹Communication Disorders Technology, Inc., Indiana University Research Park, 501 N. Morton St. Sta 215, Bloomington, IN 47404, Email: < jamdmill@indiana.edu >

The Journal of the Acoustical Society of America

|March 16, 2010

Summary

This summary is machine-generated.

SPATS is a new software system designed to enhance speech perception skills. It trains both bottom-up auditory processing and top-down linguistic context for improved word identification in challenging listening conditions.

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Area of Science:

Speech Perception
Auditory Neuroscience
Computational Linguistics

Background:

Effective speech perception relies on both bottom-up auditory processing and top-down linguistic knowledge.
Existing training methods may not adequately address the integration of these skills, particularly in noisy environments.
The development of targeted software systems is crucial for advancing speech perception training.

Purpose of the Study:

To introduce SPATS, a novel software system for testing and training speech perception skills.
To evaluate the efficacy of SPATS in improving bottom-up and combined bottom-up/top-down speech processing.
To provide an objective and automated method for assessing speech perception abilities.

Main Methods:

SPATS tests and trains syllable constituents (onsets, nuclei, codas) in quiet and noise.
A unique sentence module integrates bottom-up hearing with top-down linguistic context for sentence perception in noise.
Training employs adaptive focus on listener-specific items and SNR-adaption using Kaernbach's algorithm.

Main Results:

SPATS systematically assesses and trains crucial speech perception components.
The system prioritizes phonological elements based on their importance for intelligibility.
Objective and automated scoring is implemented within the sentence module.

Conclusions:

SPATS offers a comprehensive approach to enhancing speech perception.
The software effectively trains the integration of auditory and linguistic information for real-world listening.
SPATS provides a valuable tool for research and clinical applications in speech processing.