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September/October 2005 (vol. 7 no. 5)
pp. 3-6
What do elephants and humans have in common? According to Marquette University's Patrick Clemins, individuals in both species have distinct voices, and we can train computers to recognize 85 percent of what they say. Running preidentified elephant sounds into a PC-based hidden Markov model (HMM) algorithm trains that program to then recognize and classify further elephant recordings. In short, combine a herd of six elephants, a digital tape deck, and a basic workstation running a HMM, and you get the start of a great conversation.
Index Terms:
conversation, noise, match
Citation:
Alex Antunes, "What Jumbo Tells Dumbo," Computing in Science and Engineering, vol. 7, no. 5, pp. 3-6, Sept.-Oct. 2005, doi:10.1109/MCSE.2005.106
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