Disruptive Nature of Automated Transcription and Call Indexing

In the past I wrote about the enormous complexities facing developers of speech recognition algorithms. These complexities are what keep seemingly promising new technology from reaching us. However, if history taught us anything, it’s that we, humans, are a creative and a relentless bunch and that sooner or later these technical challenges will be succumb to our ingenuity.

Disruptive Nature of Automated Transcription and Call IndexingOver the last decade we’ve seen a number of incredible advances in the field of VoIP services and phone systems. From integrated video conferencing technologies to precisely calibrated self-learning algorithms for automated outbound calling and inbound reception, many businesses telephony services bear little more than a passing resemblance to their predecessors from the 20th century- and that’s a good thing!

Yet, as impressive as these improvements have been over the last 5-10 years, they are nothing compared to the advances we expect to see in coming years.

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Automated Transcription? Be Careful What You Wish For!

speech enabled email
Voice recognition technology has finally reached a level of sophistication matching the precision and native awareness of human transcription! Just check out the level of unbelievable naturalness offered by Google Voice, the search giant’s flagship automated voicemail transcription service-

 

“Hi Oleg, My name is patio and I got your message for focal stuff I’m selling,
please give me a call back… my number is XXXXXXXXX18 Thank God.”

 

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