Machines Have Nothing on Mum when It Comes to Listening (IMAGE)
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More than 99 percent of the time, two words are enough for people with normal hearing to distinguish the voice of a close friend or relative amongst other voices, says the University of Montreal's Julien Plante-Hébert. "Identification rates exceed those currently obtained with automatic systems," he said. Indeed, in his opinion, the best speech recognition systems are much less efficient than auditory system at best, there is a 92% success rate compared to over 99.9% for humans. Moreover, in a noisy environment, humans can exceed machine-based recognition because of our brain's ability to filter out ambient noise. "Automatic speaker recognition is in fact the least accurate biometric factor compared to fingerprints or face or iris recognition," Plante-Hébert said. "While advanced technologies are able to capture a large amount of speech information, only humans so far are able to recognize familiar voices with almost total accuracy."
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University of Montreal
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