Google adds its voice model Chirp 3 to its Vertex AI platform
The majority of the focus in generative AI was on text -based interfaces that are used to generate text, images and more. The next wave seems to be a voice and he rolls in quickly. In the newest development, Google today announced that the Chirp 3 is speech-totext and HD-text-to-speech-models add to its Vertex AI development platform from next week.
Last week, Google announced quietly That Chirp 3 would roll out 8 new voices for 31 languages. User classes for the platform are the construction of speech assistants, creating audio books, developing support agents and voice-overs for videos. The news was announced during an event in the DeepMind offices of Google in London.
The efforts are at the same time that others also jump forward with their voice AI work. Last week Sesame – the startup behind the viral, very realistic sounding “Maya” and “Miles” AI -apps – announced the launch of his model for developers to build their own adapted apps and services on top of his technology.
In particular, there will be user restrictions around Chirp 3 to try to keep a grip on abuse. “We just work through some of these things with our safety team,” said Thomas Kurian, CEO of Google Cloud, during a news event today.
Elevenlabs is one of the most important startups that have collected hundreds of millions of financing to expand their work in AI Voice Services.
The news will bring Chirp 3 in the same stable as newer versions of its flagship LLM, Gemini, which are being tested, as well as the imagen of the image generation model and its pricey VEO 2-video tool.
It still has to be confirmed whether what Google exchanges with Chirp 3 will be just as “realistic” as some of the other AI efforts to create “human” voices (the work of Sesame is particularly striking). But like Demis Hassabis, the CEO of DeepMind, emphasized, this remains a marathon, not a sprint.
“In the short term … This idea that [AI is] A silver bullet for everything in the coming years, I don’t see that happening yet. Think we are still away from something like Agi for a few years, “he said. “It will change things … the next decade, so the medium until a longer term. It is one of those interesting moments in time. “
Google launched Vertex AI far back in 2021 as a platform for developers to build machine learning services in the cloud. That was of course well before the explosion of interest in AI, and specifically generative AI, which came with the launch of the GPT services from OpenAi.
Since then, the company is partly leaning in corner AI while catching up Other companies Just like Microsoft and Amazon – they also build generative AI tooling for developers. In addition to building generative AI on top of Gemini, developers can use corner point AI to classify data, train models and to set models for production. It will be interesting whether it will be moving to extend its walled garden to models that go beyond that of Google itself.
Google has been building ‘Chirp’ speech services for years and goes back to the use of the name as a codename For his early efforts to compete against the Alexa service of Amazon.
