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Posted: 2025-04-11 17:23:24 UTC
This article contains some claims that remain unverified. While much of the content may be accurate, exercise care when relying on this information.
This article contains some claims that remain unverified. While much of the content may be accurate, exercise care when relying on this information.
Status
Last Updated
2025-04-11 17:23:46 UTC
Verified By
Rollup News
The Voice Stack is rapidly evolving, with systems using speech and listening poised to drive new applications. Foundation models and APIs like OpenAI's RealTime API are contributing to this growth, but controlling voice output remains challenging compared to text-based generation. Agentic workflows and techniques like pre-responses are being developed to improve accuracy and reduce latency in voice applications.
Voice-based applications are improving rapidly.
Foundation models and APIs are key to this growth.
Controlling voice output is more challenging than text.
Agentic workflows enhance accuracy in voice applications.
Latency reduction techniques are crucial for user experience.
Controlling the output of voice-in, voice-out models.
Reasoning capability of voice models is inferior to text-based models.
Balancing accuracy and latency in voice applications.