Words are what we live by, but once we take our conversations to text, there’s a tendency for words to get misinterpreted. Forester reported in 2011 there were 6 billion SMS messages sent daily equating to 2.2 trillion text messages sent that year. As more smartphones are purchased, texting usage will easily increase . There were 92 million smartphone users in the US in 2011, and approaching 163 million smartphone users in US as of 2014.
Recently, messaging app EMU, an IM client with Siri-like intelligence, had exited beta earlier this year and snapped up by Google.
Emu creators recognized the problem of text was the lack of emotion, and went beyond just words, with a machine that recognized the context of the conversation. By analyzing the text, Emu was able to anticipate what the user would need to do next. This was a very clever approach, since SMS does “NOT” do this. You needed to have a more robust platform with some sophisticated analytics behind it.
Just look at “Google Now”. To me, Emu will be an enhancement to an already great feature. However, it's more than that. Google is interested in what people are thinking and having the ability to spot trends quickly, Google can serve up a better experience to the user and anticipate next steps that need to be taken, even giving useful suggestions to the end user.
To analyze the audio efficiently, you need to have the ability to transcribe audio to text in near real-time. Once you have the text of any audio file, you can now search, analyze and draw useful information that can be applied to many parts of the user experience and or customer service. Stay tuned to what Mutare is bringing to you next…. real-time, with emotion and bio-metrics.