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Openi A fast competitor for enterprises adds to AI Awaaz Market New model, GPT-ritimeIt follows complex instructions and with voices “which seems more natural and expressive.”
As the voice AI increases, and customers find cases of use such as customer service calls or real-time translation, market for realistic-sounding AI sounds that also provide enterprise-grade security, heating up. Openai claims that its new model offers more human -like voice, but it still needs to compete against companies such as Elevenlabs.
The model will be available on realtime API, which was generally made available by the company. With the GPT-Realtime model, Openai also released new voices on API, which it calls cedar and marin, and updated its other voices to work with the latest models.
Openai said in a livestream that it works with its customers who are creating voice applications to train GPT-Realtime and carefully align the evals created on real-world landscapes such as customer support and academic tuition. “
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The company avoids the ability of the model to create emotional, natural-ridiculous voices, align with how developers build with.
Speech-to-speech model
The model operates within a speech-to-spicch framework, which is able to understand and respond to the spoken signals. The speech-to-specty models are ideally suited to real-time reactions, where a person, usually a customer, interacts with an application.
For example, a customer wants to return some products and calls the customer service platform. They can talk to an AI Voice Assistant who answers questions and requests as they were talking to a human.
In a livestream, Openai Customer T Mobile An AI shown voice-operated agent that helps people find new phones. Another customer, real estate search platform ZillowAn agent was shown that helps someone to narrow the neighborhood to find the right place.
Openai said that GPT-Realtime is its “most advanced, production-taiyar voice model”. Like its other voice model, it can change languages mid-vak. However, OPENAI researchers stated that GPT-Realtime may follow more complex instructions such as “speak strongly in French pronunciation.”
But GPT-ritime competes with other models that many brands already use. Elevenlabs Conversation released in May AI 2.0. sound Hound Participated with fast food franchise for AI Voice Drive-Through. Strong AI Startup Hume Launched its EVI 3 model, which allows users to generate AI versions of their voice.
As enterprises discovered various use cases for Voice AI, and even more common model providers who offer multimodal LLMs are making a case for themselves. Mistral Releasing its new Voxtral model, saying that it will work well with real -time translation. Google Increasing its audio capabilities and gaining popularity with an audio feature on the notebook that converts research notes into podcasts.
Better instructions the following
Openai said that GPT-ritime is smarter and understands the native audio better, including laughter or the ability to capture non-verbal signs like sighs.
Using the Big Bench Audio Eval, the benchmarking showed the model scoring 82.8% in accuracy compared to its previous model, which scored 65.6%. Openai did not test the GPT-Realtime against the model from its rivals.
Openai focused on improving the following capabilities of the model, ensuring that the model would follow the directions more effectively. The new model gets a score of 30.5% on the Mulchallenge audio benchmark. Engineers also called the function, so that the GPT-Realtime could reach the right tool.
Realtime API Update
To support and enhance the new models how enterprises integrate real -time AI capabilities in their applications, OpenI has added many new features to realtime APIs.
This can now support MCP and identify the image input, allowing it to inform users what it looks in real time. This is a feature that Google insisted during its project Estra presentation last year.
Realtime API session can also handle the initiation protocol (SIP). SIP connects apps to phones such as public phone network or desk phones, opens up cases of more contact center usage. Users can save and reuse signs on APIs.
So far, people are influenced by the model, although these are still initial tests of a model that were released recently.
Openai reduced $ 64 for $ 32 per million input tokens and audio output tokens at a rate of 20% in prices for GPT-Realtime.
