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Whisper-Vad-EncDec-ASMR-onnx

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Hi! We've added native support for this model in CrispASR, our unified C++ ASR toolkit.

What's included:

• ONNX → GGUF converter with graph topology tracing for anonymous tensor mapping
• Full C++ runtime: whisper-base encoder (6L) + 2-layer TransformerDecoder + frame classifier
• Works with both F32 (113 MB) and Q4_K (22 MB) quantization
• Auto-download: --vad -vm whisper-vad fetches the Q4_K GGUF automatically
• Integrated into the VAD dispatch pipeline alongside Silero VAD and FireRedVAD

Pre-built GGUFs: cstr/whisper-vad-encdec-asmr-GGUF

Usage:

crispasr --backend whisper -m auto --auto-download --vad -vm whisper-vad -f audio.wav

Tested on English, German, and various audio lengths. The model produces clean VAD segmentation (similar to FireRedVAD) but adds ~1s overhead from the whisper encoder pass. See the benchmark comparison in our README.

Thanks for publishing the model!