DocumentCode
1152612
Title
What jumbo tells dumbo
Author
Antunes, Alden
Volume
7
Issue
5
fYear
2005
Firstpage
3
Lastpage
6
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.
Keywords
audio signal processing; biocommunications; biology computing; hidden Markov models; speech processing; speech recognition; zoology; HMM algorithm; PC-based hidden Markov model; elephant sounds; human speech; speech classification; speech recognition; conversation; match; noise;
fLanguage
English
Journal_Title
Computing in Science & Engineering
Publisher
ieee
ISSN
1521-9615
Type
jour
DOI
10.1109/MCSE.2005.106
Filename
1501732
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