Abstract
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 an HMM, and you get the start of a great conversation. The software's accuracy not only bests human efforts for elephant speech, but it's also comparable with the same task - using the same approach and software - done on human speech.
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