Despite the popularity of audio analytics, there are several challenges that hinder its adoption.
Despite the popularity of audio analytics, there are several challenges that hinder its adoption. According to Chris Mitchel, CEO and Founder of the UK-based Audio Analytic, voice recognition is technically a discrete problem.
“There are only a certain number of sounds the human mouth can make (phonemes) and the mathematical probability encoded in individual languages dictates the likely order these phonemes occur in,” Mitchel said. “To help software identify the relevant speech to decipher from a background of sounds, most voice assistants require the use of a trigger word - such as ‘Siri’, ‘Alexa’ or ‘hey, Google’ - to kick start the recognition.”
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