ElevenLabs Launches GenFM: The Next Frontier of Multi-Speaker AI Podcasts | Openai | Large language models tutorial github | Llm machine learning examples | Turtles AI

ElevenLabs Launches GenFM: The Next Frontier of Multi-Speaker AI Podcasts
ElevenLabs’ GenFM feature enables the creation of personalized podcasts in 32 languages, enriched with natural elements such as pauses and “ums”, for a more authentic and engaging experience
Isabella V


 
ElevenLabs has launched a new feature, GenFM, to create podcasts with multi-speaker synthetic voices from text or video content. The technology, which can generate natural conversations in 32 languages, is positioned as an alternative to similar solutions such as Google’s NotebookLM. With GenFM, the company aims to improve voice interaction by enriching podcasts with human language elements such as pauses and “ums.”  

Key points:

  •  ElevenLabs introduces GenFM, a new feature for creating AI podcasts with multiple voices  
  •  Support for 32 languages, including English, Spanish, French and Japanese  
  •  The feature is distinguished by the inclusion of natural sounds such as pauses and “ums”  
  •  The company is investing in international expansion, with plans for growth in Poland and India  


Startup ElevenLabs, known for its innovations in speech AI, recently introduced a feature called GenFM, intended to transform the creation of audio content, particularly podcasts, using AI-generated voices. This new technology aims to be a viable competitor to similar solutions such as Google’s NotebookLM, bringing an evolution in AI-based voice interaction. GenFM allows users to upload a variety of content, including videos, documents or transcripts from YouTube, and turn them into engaging podcasts with multiple synthetic voices. The distinguishing feature of this functionality lies in the fact that the app automatically selects two voices, chosen from a wide range of available options, to ensure smooth and natural narration. Multilingual support, covering 32 different languages including English, Spanish, Portuguese, Chinese, French, German, Japanese, and Hindi, provides access to a wide global audience, expanding the product’s usability.

A particularly interesting aspect of GenFM is the ability to add human speech elements such as “ums,” pauses and other sounds that enrich the audio experience, trying to get as close as possible to the fluidity and spontaneity typical of real conversations. In a world where many speech generation technologies tend to remove all traces of uncertainties and “imperfections,” ElevenLabs chooses to integrate these details, aiming for a balance between authentic storytelling and useful communication. According to Jack McDermott, head of mobile growth at ElevenLabs, the intent is to find the right mix between natural sound and useful, informative content, drawing inspiration from long-form podcasts that showcase smooth conversation without too many interruptions.

In the long term, ElevenLabs plans to further enhance the functionality of GenFM, allowing users to personalize generated content more, with the introduction of more sources and greater freedom in creating generative audio content. These developments are part of an evolving landscape, where the use of AI in audio is becoming increasingly sophisticated, meeting the needs of an increasingly demanding audience in terms of quality and personalization. In addition to these technological innovations, the company recently announced an $11 million investment in the startup ecosystem in Poland, where it will also open a research and development center. In addition, the startup is expanding its presence in India, with the goal of attracting new local talent and developing further applications in the field of conversational AI.  

ElevenLabs’ GenFM not only represents a significant step forward in the creation of AI-generated audio content, but also opens up new possibilities for more interactive and authentic storytelling, posing new challenges and opportunities in the field of digital content production.

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