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Gradium AI has updated its default text-to-speech model to prioritize hard-case accuracy in voice agents, achieving an 81.0% pass rate on complex data fields like order numbers and emails while reducing latency to 216 ms. This shift addresses a critical bottleneck where previous models failed precisely on the information users needed most during automated interactions. The company has also open-sourced its rigorous evaluation dataset to foster transparency in benchmarking TTS performance against competitors.

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Gradium AI Releases New Default TTS Model: 81.0% Hard-Case Pass Rate at 216 ms Time-to-First-Audio

MarkTechPost1 septembrie 20263 min de cititArticolul și perspectiva sunt în engleză.

Speed and accuracy usually pull against each other in text-to-speech. Gradium AI's new default model reports both: an 81.0% human-rated pass rate on 500 hard sentences across five languages, at 216 ms P50 time-to-first-audio on Coval. The evaluation set is open on Hugging Face under CC BY 4.0. The post Gradium AI Releases New Default TTS Model: 81.0% Hard-Case Pass Rate at 216 ms Time-to-First-Audio appeared first on MarkTechPost.

Voice agents fail on exactly the parts of a call that matter most: the order number, the callback digits, the email address the caller has to write down. Gradium AI has released a new text-to-speech model and made it the default across its API and Studio. The company reports an 81.0% human-rated pass rate on a 500-sentence…

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