Professor Carol Espy-Wilson (ECE/ISR) is the principal investigator for a three-year, $500K National Science Foundation grant, ?Nonintrusive Digital Speech Forensics: Source Identification and Content Authentication.?
With the advent of the digital era, virtually every speech communication system acquires, creates, transmits, stores, and processes information in digital form. Moreover, current digital media editing software allows malicious amateurs to perform imperceptible alterations to digital content. This creates a serious threat to the ?knowledge life cycle.? When hearing is no longer believing, the process of going from data to information, knowledge, understanding and, finally, to decision or action is severely compromised.
To help reduce this threat, Dr. Espy-Wilson will develop theories, methods and tools for extracting and visualizing evidence from digital speech content to identify the media source and authenticate content.
Her research will be based on the important paradigm of nonintrusive media forensics. Unlike digital watermarking techniques, the approach assumes no explicit prior knowledge about the original speech signal. The underlying hypothesis of the methodology is that physical devices, along with their associated signal processing chain, leave behind intrinsic fingerprint traces in the speech signal that are detectable by statistical methods.
NSF funds Shamma, Espy-Wilson for neuromorphic and data-driven speech segregation research
Five recipients of ISR Graduate Student Travel Award announced
Vishnubhotla, Espy-Wilson granted patent for improving speech extraction
Espy-Wilson named International Speech Communication Association Fellow
Espy-Wilson's technology included in new Alcatel MOVE TIME smart watch
Espy-Wilson named to NIH advisory council
Espy-Wilson delivers plenary address at College Board conference
Engineering systems for mental health work by Espy-Wilson, Resnik, Vaughn-Cooke featured in Newsweek
OmniSpeech, Espy-Wilson mentioned on "Washington Business Report"
Carol Espy-Wilson is PI for multi-site NSF speech recognition grant
September 18, 2009