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Qwen Scribe is an open-source tool for private, on-device transcription and dictation on Apple Silicon Macs, using Qwen3-ASR models via MLX. It supports drag-and-drop audio/video transcoding, language detection, SRT export, and system-wide dictation with a HUD.
Explores the performance of running a voice assistant with Qwen3-ASR and Kokoro-TTS ONNX models on CPU, measuring response times without a GPU.
NTU, NUS, and Shanghai AI Lab jointly released Mega-ASR, a fully open-source ASR model built on Qwen3-ASR. Using the Voices-in-the-Wild-2M dataset and progressive acoustic-to-semantic optimization, it achieves up to 30% relative Word Error Rate (WER) reduction in real-world noisy environments. With only 1.7B parameters, it enables efficient inference on consumer-grade hardware.
Recommends using Qwen3-ASR instead of Whisper to reduce hallucinations, using LattifAI tools for precise audio-text alignment and subtitle generation, and introducing their own OmniVAD-Kit project for voice activity detection.