Speech Intelligibility in Cockpit Voice Recorders
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Date
2015-05-07
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Johns Hopkins University
Abstract
This paper focuses on the issue of correcting failures in Cockpit Voice Recorders when dealing with speech intelligibility. The common problem that is addressed of Cockpit Voice Recorders is the failure of the erase function, causing speech recordings to be recorded on top of each other. Computational speech intelligibility systems that are focused on include the Articulation Index, the Speech Intelligibility Index, and the Speech Transmission Index. These all use the Signal-to-Noise Ratio to help measure intelligibility. This paper determines a threshold for the Signal-to-Noise Ratio and intelligibility with layered continuous human speech.
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Keywords
Speech Intelligibility, Cockpit Voice Recorders