OpenAI is taking significant strides in the audio AI market with its latest updates in voice agents.
While the market is witnessing newer AI models each day, the existing models are undergoing significant upgrades. One of them is the shift to audio AI models.
Just like text-based assistants, voice agents require human input to function. The only difference? They require voice commands in place of text-based ones. Some audio models can hold conversations with users – from helping them practice new languages to doubling as customer support. Meanwhile, some models are uniquely developed for people with disabilities.
These voice-controlled models are currently the focus area in the landscape of the AI revolution. It’s the next step in introducing AI models of any attribution.
This is OpenAI’s next project.
Already beyond its experimental stage, this project has come to fruition. The tech powerhouse has introduced audio models for voice agents, accessible to developers worldwide. With new text-to-speech, two new speech-to-text, and a few changes to Agents SDK, OpenAI has improved transcription efficiency and accuracy.
This has introduced a significant turning point in the current AI economy. These agents, capable of real-time speech interactions, could be the next step in AI technology.
But why is OpenAI amongst the only ones currently leveraging voice in the AI interface?
It might be due to the nuances required in developed audio AI – emphasis, intonation, and emotion.
How does one improve the expressiveness of AI-generated speech – to boost its normalcy and fluidity? Maybe specific hiccups persist today, but with escalating innovations, these are sure to disperse.