DEVELOPMENT OF SYSTEM-BASED FEATURES FOR THE SPOOFED SPEECH DETECTION (SSD) TASK
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Abstract
In order to determine system characteristics, we investigate the basic concept that speech is
analysed by the human ear in subbands (due to the signal processing abstraction of the
cochlea, i.e., vibration of basilar membrane in a specific region for a specific tone). Systembased
features, such as the Sub band Auto encoder (SBAE) characteristic, which is an AE
architecture modified to accommodate the human perception process, are employed in this
article to recognise natural and faked speech. The Sub band Auto encoder (SBAE) function
detects real and faked speech. It is an AE design that has been adapted to accommodate the
human visual mechanism.
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