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How will speech technologies integrate with UC apps?

Analyst Jon Arnold examines use cases for speech technologies in the enterprise and explains how UC vendors expect to add speech tools to their platforms.

The convergence of speech technologies and unified communications applications offers many possibilities. However,...

UC vendors have varying degrees of capabilities in their platforms to support speech-based workflows.

Organizations have used speech technologies with business applications for a long time, but in a limited fashion compared to today's AI speech possibilities.

In the enterprise, speech technologies have two key use cases: command-and-control applications and AI-driven applications for improving personal productivity. The number of use cases will expand as AI matures and integrates more deeply into workflows.

Command-and-control applications help manage or execute tasks that would otherwise be done via text-based channels or manually by workers. UC vendors could offer speech commands to organize a meeting and manage the meeting room experience. These commands would automate tasks such as searching calendars for availability, finding a common time, sending invites, booking a meeting and sharing relevant documents with participants.

During the meeting, depending on the level of AI capability, speech commands could control the lighting, audio levels and AV equipment. UC vendors are just starting down this path, but you should expect more use cases along these lines soon.

The second use case -- AI-driven personal productivity apps -- is more interesting and offers great promise for UC vendors. Speech recognition with AI is now on par with human speech, which provides unlimited possibilities for both text-to-speech and speech-to-text applications.

One example of these emerging speech technologies is meeting transcriptions, which happen in real time and free up attendees to focus on the meeting instead of taking notes. Text-to-speech allows workers to listen to their email or generate podcasts.

With these speech technologies, UC vendors are poised to enhance productivity in new ways that should be very well-received.

Do you have a question for Jon Arnold or any other experts? Ask your enterprise-specific questions today! (All questions are treated anonymously.)

This was last published in May 2018

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How do you see your enterprise incorporating AI speech technologies?
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I am predicting that by 2022 most courtrooms in the country will be using AI and automated speech recognition technology to provide realtime transcription of their legal proceedings eliminating the use of stenographic services which is in effect dying on its own anyway.  Stenography is very very expensive AI and ASR will bring the cost down to virtually nothing for a first pass interactive auto-audio-video sync'd transcript offering 100% verification and if and when necessary a digital text editor will revisit the ''rough draft'' making corrections so a certified final transcript can be accepted in the court of appeals.  The same concept is used today for depositions. 
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Hi SteveHubbard! Here's a comment from Jon Arnold:

"Thanks for the comment, Steve. Definitely agree - just one of many use cases where AI/speech rec will automate and even improve things - and of course, bring down the cost."
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