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DeepZen’s synthetic AI voices finally make audio books you want to listen to

AI is sounding more and more human-like, and that's an issue if you make a career out of your voice ...

Key takeaways

  • DeepZen · She Chose Me by Tracey Emerson (Alexia) DeepZen · DeepZen Samples Enter DeepZen, a voice synthesiser project that uses AI algorithms from IBM’s Power AI and Watson technologies division.
  • DeepZen has developed text-to-speech tools that not only sound human at first listen, but can also pick up on the emotional cues needed for reading text in a compelling manner.
  • In doing so, the company claims that it could reduce the time and cost to produce audiobooks by up to 90 percent.
Cite or link to this article

Griffin, M. (2021) 'DeepZen’s synthetic AI voices finally make audio books you want to listen to', 311 Institute, 22 January. Available at: https://www.311institute.com/deepzens-synthetic-ai-voices-finally-make-audio-books-you-want-to-listen-to/ (Accessed: 1 October 2026).

Over the past couple of years synthetic voices, in other words human voices that are generated by Artificial Intelligence (AI) rather than actual people, has come a long way with companies like Facebook and LyreBird being able to replicate anyone’s voice with just a minute’s worth of audio, and tech giants like Google promoting Duplex, which they showed off a while ago, to be the voice of Google Assistant.

As amazing as all these advances are though, and as much as they help push synthetic voice past uncanny valley, the point at which people can’t tell if it’s real or synthetic, and as AI tries to get its head around holding human-like conversations rather than limiting itself to saying a few words or mini-sentences, for the most part none of these systems so far have been able to generate human-like voices that convey emotion, let alone generate a human voice that you’d be happy listening to for hours on end.

Enter DeepZen, a voice synthesiser project that uses AI algorithms from IBM’s Power AI and Watson technologies division. DeepZen has developed text-to-speech tools that not only sound human at first listen, but can also pick up on the emotional cues needed for reading text in a compelling manner. In doing so, the company claims that it could reduce the time and cost to produce audiobooks by up to 90 percent.

Taylan Kamis, CEO and Co-founder of DeepZen, explains: “Our aim isn’t to put voice actors out of jobs, but rather to solve the capacity issues in the current market. We identify emotion in text automatically and use voice samples, for which we pay royalties to voice actors, combined with speech synthesis technology to produce convincing voice audio.”

“To [create these voices], we needed to create large and complex neural networks. These require extensive amounts of processing power to produce accurate results fast, so we needed the right technology platform to bring our vision to life,” he added.

While DeepZen promises it’s not going to put narrators out of a job though it’s hard to see how that won’t happen over the longer term, but that conversation asides in the interim their technology will no doubt be an invaluable tool in helping smaller publishers and indie authors create audiobooks  without having to go to the hassle of dealing with professional narrators.

And as for next steps, DeepZen have announced that they’re going to be working with Audiowhale to commercialise their technology and bring it to authors and publishers everywhere.

311 Intelligence

What this means for your organisation

Emotion was the barrier.

Earlier systems could sound human for a sentence but not hold attention for hours. Picking up emotional cues is what makes long form audio usable.

Capacity, not replacement.

Kamis frames it as solving capacity rather than cutting jobs, with royalties paid for voice samples. That model gives firms a defensible way to use synthetic voices.

Cheap audio changes catalogues.

At up to 90 percent lower cost, titles that never justified an audiobook become viable. Publishers and training teams should revisit what they produce.

Three questions for your next leadership meeting

  1. Which of our content never justified an audio version?
  2. Would we license voices with royalties or build our own?
  3. How would customers react to synthetic narration?

The trends and technologies behind this story

From the 311 Starburst, the 311 Strategic Intelligence Unit’s map of the technologies and trends shaping the next 50 years.

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Analysis by the 311 Strategic Intelligence Unit, from Matthew Griffin’s article and 311 data. First published on Fanatical Futurist.

FAQ

Why does this matter?

AI is sounding more and more human-like, and that's an issue if you make a career out of your voice ...

Matthew Griffin

About the author

Matthew Griffin Founder, President and Futurist, 311 Institute

Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath."

Read full bio

Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath." 17-time best selling author of the "Codex of the Future" series, Matthew is the Founder, President and Futurist of the 311 Institute, a global Futures and Deep Futures advisory firm working with royal households, world leaders, G7, G20, and G77 governments, NGOs, and multi-national mid and mega cap firms to help them explore, shape, and lead the next 50 years of business and society.

An award-winning YouTube creator with over a million followers, with an unrivalled global reach and impact, Matthew is a highly sought-after international keynote speaker, lecturer, and mentor who collaborates with global leaders through the United Nations Alliance of Civilizations (UNAOC) and United Nations General Assembly (UNGA) to shape pivotal initiatives such as the UN’s AI for Humanity programme, the United Nations Conference of the Parties (UN COP), and the World Economic Forum in Davos.

As the former Global Head of Cloud, National Security, and Enterprise Sales for companies including Atos, Dell-EMC, and IBM, Matthew has a proven track record of building multi-billion dollar business units and turning failing divisions into market leaders. His ability to identify, analyse, and communicate the implications of hundreds of emerging technologies and trends is unparalleled, and his insights are trusted by many of the world’s most respected organisations, including ABB, Accenture, Adidas, AON, ARM, BCG, Centrica, Citi, Coca-Cola, Dentons, Deloitte, Dow Jones, EY, Google, KPMG, Lego, Legal & General, LinkedIn, Microsoft, PepsiCo, Qualcomm, RWE, Samsung, Siemens AG and Siemens Energy, T-Mobile, UBS, VISA, Walmart, Workday, Worldpay and many others.

Regularly featured in the global media including the AP, BBC, Bloomberg, CNBC, Discovery, Forbes, Khaleej Times, Telegraph, TIME, ViacomCBS, WIRED, and the WSJ, Matthews mission is to help organisations create a fair and sustainable future whose benefits are shared by everyone irrespective of their ability, background, or circumstances.

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Sources and further reading

  1. Deepzenltd soundcloud.com
  2. She Chose Me by Tracey Emerson (Alexia) soundcloud.com
  3. Deepzen samples soundcloud.com
  4. DeepZen deepzen.io
  5. IBM’s Power AI and Watson technologies ibm.com

Source: first published by the 311 Institute on 22 January 2021. Cite as: Griffin, M. (2021). DeepZen’s synthetic AI voices finally make audio books you want to listen to. 311 Institute. https://www.311institute.com/deepzens-synthetic-ai-voices-finally-make-audio-books-you-want-to-listen-to/

You are welcome to quote this article with credit and a link to the original.

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