Speech Communications: Human and Machine Douglas O'Shaughnessy
Publisher: Wiley-IEEE Press

Madhuri Shekar October 28, 2010 —. (February 2005), doi:10.1145/1075389.1075391. "Automatic Classification of Married Couples' Behavior using Audio Features" honored by International Speech Communication Association. Her research has looked at the impact of the ageing voice on speech as a biometric. Book Summary of Speech Communications: Human and Machine. Harris, Arthur Toth, James Sanders, Alexander Rudnicky, Roni Rosenfeld. Publisher: IEEE Computer Society Press (19991130). Speech Communications: Human and Machine (Hardcover) by Douglas O'shaughnessy. They took advantage of research conducted at the university's National Intelligent Computer R&D Center and the Human-Machine Speech Communication Laboratory. Several ECE alumni, faculty, and students have contributed to the proceedings, which encompass a broad array of fields related to both human-to-human and human-machine speech communication. She is also interested in human-to-machine communication. A team from the Ming Hsieh The long-term goal focuses on mental health research and practice; it involves employing signal processing and machine learning technologies to sense human behaviors that aid in and transform observational methods. Human speech features characteristics such as linear prediction coefficients (LPCs), MFCCs, and fundamental frequency and formants are studied in previous works [2, 5–9].