After ingesting the audio, Audioburst leverages technologies like A.I. and natural language processing to understand not just what’s being discussed, but also the context.

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　　It also doesn’t only match users’ search queries to those exact same words when spoken, either. For example, it knows that someone speaking about the “president” in a program about U.S. politics was referring to “Donald Trump,” even if they didn’t use his name.

　　The audio content is then tagged and organized in a way that computers understand, making it searchable. And it’s broken into smaller sections – clips it calls “bursts” – which Audioburst identifies by understanding when the audio changes.

　　It can identify when an ad break starts, when there are station breaks, when a new speaker joins, when there are pauses, and other signals that tell it when to start and end an audio clip – a process that all happens automatically.

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　　This allows its search engine to not just point you to a program or show where a topic was discussed, but the specific segment within that show where that discussion took place. (If you choose, you can then listen to the full show, as the content is linked to the source.)

　　As the technology is further developed, its ability to understand consumers’ personal preferences will be improved. For example, if you’re a fan of a particular sports team, and they won their last game, you might hear audio content featuring more praise and cheering from the commentators; but if your team lost, the news returned may have a less emotional tone.

　　Audioburst isn’t there yet – it’s only beginning this process of understanding listener behavior. But in the long-term, the company believes this would pave the way to things like personalized audio advertisements, alongside a daily news briefing, for example. It may also choose to generate revenue through more traditional methods, like sponsorships and promoted content. Revenue would be shared with the audio content’s producers.

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　　But these are goals that are still a year or two out, we understand.

　　While the startup is making its technology available across platforms – web, mobile, and one day, cars, it sees potential in the voice-powered smart device market, in particular.

　　“Of course, voice assistants and smart speakers are the natural interfaces to use our library, because it’s all about voice,” explains Assaf Gad, Vp Marketing and Strategic partnerships at Audioburst.

　　“It allows you to ask a question and get a result. Instead of Alexa reading it out loud to you in her voice, you can get the actual speaker,” he says, noting that audio could come directly from a public figure’s sound bite or the host of the audio program itself. “It’s a more human voice,” Gad adds.

　　The company recently closed on a $6.7 million round of funding led by Japanese speech recognition tech company Advanced Media to further develop its underlying technology and its consumer-facing products.

　　Its audio search engine, Audioburst Search, is live on web and mobile here.