VibeVoice-ASR

The fastest method for installing this model locally is by using Docker.

Use the instructions provided below to complete the setup.

The setup auto-streams the model assets (expect a multi-GB download).

You don’t need to tweak anything, as the installer will automatically pick the highest performing setup for you.

📘 Build Hash: 7b9b2fd267b21df218362988ace05544 • 🗓 2026-06-23 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: required: 16 GB absolute minimum for small models Disk: 150+ GB for high-context vector database storage Graphics: stable 30+ tk/s at 4-bit quantization on medium setup

The VibeVoice-ASR model delivers state‑of‑the‑art speech recognition with exceptional accuracy across a wide range of accents and domains. Built on a transformer‑based architecture, it supports over 30 languages and adapts seamlessly to both noisy and clean audio environments. Its low‑latency pipeline enables real‑time transcription with end‑to‑end processing times under 50 ms per utterance. Integrated with a proprietary language‑model fine‑tuning layer, the system maintains high contextual coherence while keeping computational requirements modest. Developers can easily integrate the model via a unified API that provides streaming support, confidence scores, and customizable vocabularies. The model has been benchmarked against leading open‑source alternatives, consistently achieving superior Word Error Rate (WER) scores in multilingual scenarios.

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