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Spotify’s AI technology to develop host-read ads
Spotify is developing AI technology that can replicate a podcast host’s voice to create host-read ads without the host having to record ad copies themselves. The Ringer founder, Bill Simmons, hinted at the development of the technology on a recent episode of The Bill Simmons Podcast, where he mentioned that podcasters can geo-target ads in different languages with the host’s permission. However, Spotify declined to either confirm or deny the feature’s development.
New Marketing Opportunities for Podcasters
AI technology for host-read ads could open up new marketing opportunities for podcasters. Podcasters can geo-target ads, like tickets for a local event, and create ads in different languages without the hassle of recording copies. If Spotify successfully develops the technology to replicate podcast host voices, podcasters will be able to expand their reach globally, connecting with a diverse range of audiences.
The AI DJ Model and Spotify’s Investment in AI Development
Spotify has already invested in AI development and research, with a few hundred team members working on personalisation and machine learning. Spotify’s AI DJ, a technology that the company trained on a real person’s voice, was relatively successful. For the AI DJ model, Spotify had its head of cultural partnerships, Xavier Jernigan, go into the studio to record high-quality readings of lines with different cadences and emotions. Interestingly, Jernigan kept natural pauses and breaths in the recordings and used language he normally says instead of merely “songs.”
The Process Behind Developing AI Technology
Spotify has not revealed how long it took to turn Jernigan’s recordings into an AI DJ. However, the company is likely developing an efficient process that could leverage podcasters’ existing recordings. Additionally, combining IP from the Sonatic acquisition with OpenAI technology, Spotify may use its own in-house AI to create the replicating technology powered by Jernigan’s voice.
The Future of AI Voice Models
Spotify’s AI DJ feature was not designed to be the only AI voice model the company develops in the future. The company has hinted at ‘other voice models’ yet to come. And while creating an AI voice model of a human voice that sounds natural has existed for a few years now, this is a significant step to making it sound more lifelike. Apple recently added an accessibility feature called Personal Voice that mimics the user’s voice after they train the model by reading prompts for 15 minutes, highlighting the growing capacity of AI technology.
Conclusion
If Spotify is successful in developing AI technology that can replicate podcast host voices, it could create new opportunities for podcasters looking to reach a broader and more diverse audience. The use of AI technology in podcasting and advertising is still in its early stages. However, it shows tremendous potential for personalisation and cost-efficiency, so we can likely expect to see a lot more development and adoption of AI technology in these areas in the future.
FAQs
What is Spotify’s AI DJ feature?
Spotify’s AI DJ feature is an AI model trained on the real person’s voice, i.e., Xavier Jernigan – Spotify’s head of Cultural Partnerships and podcast host. The model makes music recommendations based on real DJs’ styles and tastes and artists’ songs that users listen to on Spotify.
What is the concept behind Spotify’s AI technology for replicating podcast host voices?
The concept is to develop AI technology that can replicate a podcast host’s voice to create host-read ads without the host having to record ad copies themselves. The potential AI technology will open up new marketing opportunities, such as geo-target ads and creating ads in different languages, for podcasters via host-read messages to audiences worldwide.
What is the significance of Spotify’s investment in AI development and research?
Spotify’s investment in AI development and research reflects the growing potential of AI technology in podcasting and advertising spheres. With a few hundred team members working on personalisation and machine learning, Spotify aims to develop efficient and cost-effective processes that could leverage podcasters’ existing recordings to develop replicating technology powered by AI.
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