Is Automated Speech Recognition the new lingua franca?

After a decision to implement a direct-to-store supply chain, a local manager of an electronics store in Boston notices an unexpected run on televisions and wants to coordinate a modified schedule with the manufacturer team leader based in Seoul, Korea. Several hours after using a translation program to send an email and facing time constraints, the local manager decides to pick up the phone and call the team leader directly. The team leader, who has been away from his desk on the manufacturing floor, answers the call and the two communicate effectively despite not having a shared language.

Text by Jonathan Litchman

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Is Automated Speech Recognition the new lingua franca?

This scene is not from a science fiction film, but an example of what is possible today with the latest advancements in machine translation (MT) and automatic speech recognition (ASR) technology.

While ASR is a technology originally developed decades ago, the commercial success of Apple’s virtual personal assistant Siri™ and the trivia success of IBM® Watson™ have demonstrated significant breakthroughs in the field.

Integrated with MT, ASR helps produce speech-to-speech and speech-to-text translation in near real time. In fact, the most advanced translation systems already integrate the technologies on one platform.

Businesses operating across borders have placed a considerable amount of focus on text translations being sent to external audiences. However, according to research group Common Sense Advisory, telephone interpreting (TI) resisted the recession from 2007 through 2010, with ...