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ElevenLabs launches v4 speech models with 90-language support

ElevenLabs has released two new speech models, v4 and v4 Turbo, offering more expression control, lower latency and support for more than 90 languages. The company says v4 can clone a voice from a 10-second audio clip.

  • ElevenLabs v4 and v4 Turbo support more than 90 languages, up from 70 in the previous version.
  • The company said v4 can clone a voice using just 10 seconds of audio.
  • ElevenLabs said the biggest quality improvement was observed in Japanese, Brazilian Portuguese, Mandarin and Cantonese.

ElevenLabs launched two new speech models on Monday, called ElevenLabs v4 and v4 Turbo. The company said they offer more expression control, lower latency for voice agents and support for more than 90 languages.

The previous version supported 70 languages. ElevenLabs said it observed the biggest quality jump in Japanese, Brazilian Portuguese, Mandarin and Cantonese.

For the v4 generation, ElevenLabs is adopting a new architecture that it says allows for better control and faster cloning. The company said users will be able to clone a voice with just 10 seconds of audio.

On the creative side, the model handles voice identity better over longer chunks of text and keeps the context of the text in mind while reading it aloud to change expressions. ElevenLabs introduced inline tags to define expression with v3 and is expanding those tags in v4, letting users stack multiple tags and having the model follow the sequence.

ElevenLabs said the new model is suited for voice agents, as it has lower latency to allow for more fluid conversation. The v4 can start generating audio as soon as the LLM behind it starts generating answers, and the company said it can handle confrontations, escalations and holds differently for better issue resolution.

The company said more than 55% of its business comes from large companies. ElevenLabs raised $500 million earlier this year in a round led by Sequoia that valued the company at $11 billion. Its annualized revenue run rate has climbed from roughly $330 million at the start of the year to over $600 million, and headcount has reached over 800.

Why this matters: The launch adds to competition in speech models, where startups including Cartesia, Deepgram, Fish Audio, Boson and WellSaid Labs, as well as large companies like Google and OpenAI, have improved their voice models.

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