"Apple researchers are proposing a new way to make text-to-speech systems respond more quickly, a change that could subtly but meaningfully improve how natural conversations with Siri feel. In a newly published research paper, the Apple Intelligence team, working with researchers from Tel Aviv University, outlines a method designed to reduce the delay between a user's request and a spoken response. While the study is technical in nature, its implications reach into everyday experiences such as using Siri for navigation, dictation, or conversational queries."
"Although Apple has reportedly lost some high-profile AI researchers in recent years, it continues to release a steady stream of academic work. Past papers have explored ways to prevent AI systems from taking actions without explicit user approval, as well as techniques to reduce hallucinations in generative models. The new paper, titled "Principled Coarse-Grained Acceptance for Speculative Decoding in Speech," shifts focus to speech generation."
A method reduces delay between user requests and spoken responses in text-to-speech systems to make voice assistants like Siri feel more responsive. The technique addresses the speed-versus-accuracy tradeoff in speech generation, aiming for faster output while preserving intelligibility and correctness. Faster speech output can improve navigation, dictation, and conversational query experiences where small delays disrupt interaction flow. The approach centers on principled coarse-grained acceptance for speculative decoding in speech to accelerate generation without sacrificing quality. Performance improvements in text-to-speech can have wide-ranging effects across voice-driven products.
Read at TechRepublic
Unable to calculate read time
Collection
[
|
...
]