Unmade: media and marketing analysis

'We were doing AI before it was sexy': Sonnant's Tony Simmons on revolutionising audio content


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Welcome to an audio-led edition of Unmade.

Today’s edition of The Unmakers features Tony Simmons, founder of audio technology startup Sonnant. Anyone interested in understanding how spoken audio content will be monetised in the future will find it a fascinating listen.

In today’s edition of the Unmakers, Unmade’s Tim Burrowes talks to Tony Simmons, CEO and founder of Sonnant, an Australia-founded AI platform for broadcast and podcast audio that is set to become a major player in the monetisation of digital audio.

Sonnant uses AI to automate many of the manual processes taking place behind the scenes in audio businesses including Southern Cross Austereo, ARN, Nova and Nine. In the future it offers the prospect of real time insertion of advertising that fits within the context of the conversation.

Simmons doesn’t come from the traditional radio world. He hails from a tech and data background and started his career as a commercial lawyer before founding and selling several software businesses over the last 15 years.

“We were doing AI before it was sexy,: says Simmons. “Maybe we weren't doing podcasts before they were sexy, but we were right ahead of the curve in terms of blending the two together.”

Sonnant converts content into data for a variety of functions - including indexing content to make recalling clips of words or phrases from the archive instant, AI-powered content summaries, asset creation including clips and audiograms, permanent clip housing and automated speaker identification.

“Behind every word, there's energy, there's sentiment, there's how long you pause for, there's volume, there's gap between previous word, gap between the next word. If you look at human communication and try to turn that into data, that is a massive exercise. In order to automate things effectively and replicate human endeavour, data is the building blocks to be able to do that from a technology point of view,” Simmons explains.

“So the starting point for us was understand what data points are there and then what data points are going to be relevant to automate manual work and increase the lifeblood of this industry, impressions and advertising dollars.”

The software is also developed to identify how advertising can help be contextualised for optimal relevance.

The product is also adept at creating social media-ready content like audiograms that are contextually relevant without needing zero human input or editing. “Everyone's seen how ChatGPT can create web pages and summarize content. So being able to turn one long-form piece of content into all your tweets and all your YouTube shorts and Instagram posts is a no-brainer as far as producing long-form content. Pulling out the relevant hashtags, putting your headline in this can all be done through incredible automation at scale.”

Audio production was courtesy of Abe’s Audio, the people to talk to about voiceovers, sound design and podcast production.

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Unmade: media and marketing analysisBy Tim Burrowes


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