![]() Facial imagery analysis has been used to aid speech recognition work for synchronized audio and video feeds and, in particular, facilitate speech recognition in high-noise environments. Facial recognition can also be used to identify humans, directly however, other techniques may be needed to verify that the is live, and not pre-recorded, input designed to fool a system. Lip reading has been performed by both software systems and humans, with automated systems outperforming humans in some instances. Identifying a particular human who is speaking could be used for authentication or as a factor in a multi-factor authentication system.Īn alternate approach to recognizing humans and speech is by analyzing the human face. Identifying that a human is speaking can be a form of automated attack prevention. However, advances in speech synthesis have resulted in an inability to tell human speech from automated speech, in some applications. In support of these applications, techniques have been developed to overcome key technical challenges such as assessing recognition system performance confidence and recognizing speech, despite background noise. Human speech recognition is used for numerous applications including transcription and commanding computer workstations. ![]()
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