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AI Voice Technology: a Bright Future Awaits Us

by AIJ Varit
Dubai | Artificial Intelligence Journalism

Voice technology powered by AI is all the rage right now. With the rise of audio-based apps such as Clubhouse and Twitter Spaces, major corporations are joining the auditory arms race. Voice is the new frontier as both an input and a dataset for our devices. Nowadays, several amazing developments have resulted from the gold rush in voice technology. Automated speech recognition (ASR) technologies are being used in restaurants and drive-through to take orders, recognize accents and regional dialects, and even upsell customers, in video games and in every possible thing you can imagine.

How will voice technology evolve over the next few years, and how will it impact the future of work?

Automated speech recognition (ASR) allows users to search for keywords and terms within video/audio recordings. In short, you can find the exact point in a podcast or video where someone is discussing the topic of your choice.

When you search YouTube today, for example, the platform looks for a video with a matching title that the content creator has attached. Every video and podcast will soon be accompanied by a near real-time transcription. You’ll then be able to search the transcribed content for the desired topic or information. In the coming years, this technology will be used in live events, webinars, and more. Each webinar will contain live transcripts that will allow you to find out what you have missed.


Although everyone is familiar with Siri, Alexa, and “Okay Google,” enterprise-focused digital assistants are still in their early stages. Omnipresent digital assistants will be available to complete many tasks with the click of a button or the sound of your voice.

  • Do you need to sift through call notes? Request that your digital assistant do it.
  • Do you need to do some quick math? Request that your digital assistant do it.

The AI-powered assistant will be constantly striving to get better and faster, and will be able to anticipate your needs and ask questions in real-time.


You can’t remember the general tone of your sales call from two weeks ago? AI-powered communication can help you fill in the gaps so you never miss a beat. ASR and natural language processing (NLP) are used in modern transcription tools to capture conversations, generate call transcriptions, and take meeting notes. They assess sentiment and tone while gathering and analyzing massive amounts of data. AI will be able to predict and quantify customer satisfaction on a call, as well as identify intent.

(article source: AITHORITY)

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