2026-10-11 17:11 UTC

Independent reproduction will determine whether VibeVoice 1.5B can generate useful long-form speech locally on an iPhone at near-real-time speed while using roughly 2.2GB of memory.

state: expiredheat: lowuncertainty: highknownscott: mediumlocal-inference on-device-ai audio-modelsVibeVoiceaudio.cpp

What is this?

VibeVoice-1.5B is a Microsoft-originated open-source text-to-speech model for expressive, long-form, multi-speaker audio, reportedly capable of generating up to 90 minutes of speech. Its architecture uses continuous acoustic and semantic tokenizers running at 7.5 Hz to make long-sequence generation more computationally efficient. The supplied snippets do not independently substantiate the iPhone demonstration, its claimed ~2.2GB memory use, or the reported 1.28× real-time speed; the search summary instead says it is not near-real-time, so those performance claims remain conflicting and need reproduction.

Why it matters to Scott

The radar already tracks this validation question in “Independent benchmarks will determine whether audio.cpp 0.4 delivers practical real-time local TTS and ASR…”. The specific VibeVoice-on-iPhone claim matters to Scott’s local speech-engine laboratory and hardware-aware inference work because reproduction could affect mobile TTS backend choices, but the disputed demo metrics add no established result yet.
dev:project.audiodev:concept.hardware-aware-local-inferenceip:concept.evaluation-driven-developmentradar:audio-cpp-0-4-local-speech-validationradar:concept.local-inference
queries asked of Scott's wikis
  • on-device model benchmarking and independent reproduction
  • local inference memory and latency tradeoffs
  • mobile deployment of open-weight audio models
  • long-form speech generation product patterns
  • Apple silicon inference runtimes and quantization
  • audio.cpp or native iOS model deployment

Measured heat

no measured readings yet — the hourly heat pass fills this in

How the heat travelled

no chain yet — the hourly chain pass fills this in

Evidence (2) — ⭐ canonical anchor

sourceobjectauthorscorecomments
🟠 redditVibeVoice 1.5B Running Locally...On an iPhone! Only ~2.2 GB of Memory and Up to 1.28× Real-Time Speed
LocalLLaMA
Acceptable-Cycle464513244
🟧 echo.other ⭐The Reddit-hosted video appears to be the original demonstration: an iPhone screen shows “VibeVoice audio.cpp iOS demo,” running VibeVoice l——

Interpretation history

Decision trace