This paper presents an overview of a useful MATLAB based GUI for speech recognition testing to evaluate the subjects' ability in noisy environments with different SNR values. With this software package, stimuli are presented and the examiner is able to identify which words are correctly perceived. Test data can be collected in various conditions to measure the performance as signal-to-noise ratio or signal processing varies. From the subjects' responses, word recognition rates can be saved by the examiner according to different noise types such as babble, traffic, machinery, and white noise. Additionally, the speech recognition tests are completed through repeated testing cycles. Word recognition scores are saved into the database for later use purpose and analysis. This computer aided simulation makes a reliable and cost effective way to create real environmental conditions for clinical testing. Our MATLAB based GUI addresses the needs of both clinical evaluation and engineering.
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| http://dx.doi.org/10.1121/2.0001412 | DOI Listing |
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