Amazon-owned audiobook service Audible continues to explore the potential of AI to enhance audiobook discovery and deliver personalized recommendations. Recent experiments focus on AI-powered tags and topic pages, aiming to provide tailored suggestions based on individual preferences.
Audible's AI analyzes customer feedback, utilizing reviews to generate tags that offer brief explanations for why other listeners enjoyed specific audiobooks. These tags, appearing at the top of audiobook titles, provide insights like "heartwarming romance" or "relatable storyline," enabling users to quickly grasp the essence of a book without delving into numerous reviews.
Audible is experimenting with AI-driven topic pages, which recommend relevant audiobooks based on user interests, potentially introducing them to titles they might not have otherwise encountered. These topic pages offer curated lists of audiobooks related to specific themes, allowing users to explore new genres and discover hidden gems.
Audible has consistently integrated AI into its platform, including its AI-powered search feature "Maven," which utilizes natural language processing to understand user queries and deliver accurate results.
In a move that echoes Apple's recent introduction of AI-powered audiobook narration for select Apple Books, Audible has begun recruiting voice actors to train AI on their voices for audiobook recordings. This initiative signifies a growing industry-wide shift towards AI-powered audiobook production.
Audible's ongoing experimentation with AI-powered tags and topic pages, coupled with its investment in AI-powered audiobook narration, underscores the transformative power of AI within the audiobook industry. As AI technologies continue to evolve, we can expect even more innovative applications in the audiobook space, further enhancing the listening experience and expanding audiobook accessibility.
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