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IMAGE: Listeners can extract a lot of information about a person from their acoustic speech signal. During the 179th ASA Meeting, Dec. 7-10, Tessa Bent, Emerson Wolff, and Jennifer Lentz will. view more
Credit: Tessa Bent, Emerson Wolff, and Jennifer Lentz
MELVILLE, N.Y., December 10, 2020 Listeners can extract a lot of information about a person from their acoustic speech signal. When researchers previously put this to the test, listeners were able to identify both race and regional dialects within the U.S. with moderate to high accuracy.
During the 179th Meeting of the Acoustical Society of America, which will be held virtually Dec. 7-10, Tessa Bent, Emerson Wolff, and Jennifer Lentz, of Indiana University, will describe their study in which listeners were told to categorize 144 unique audio clips of monolingual English talkers into Midland, New York City, and Southern U.S. dialect regions, and Asian American, Black/African American, or white speakers. The