tdson/voicehospital-denoise

AI model by tdson

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ONNX exports of speech-enhancement models used by voicehospital, an offline desktop app that transcribes doctor–patient consultations. The app downloads these files on first run and verifies each against a pinned SHA-256. Each file keeps its upstream licence: MossFormer2 is Apache-2.0; the pyannote WeSpeaker files are CC-BY-4.0 (attribution below). The network of MossFormer2SE48K from Alibaba's ClearVoice (Apache-2.0), exported unchanged with torch.onnx.export (opset 17). window at 48 kHz (40 ms frames, 8 ms hop, Hamming, dither 1.0 on int16-scaled audio), with deltas and delta-deltas. (hop 384) of the same window. Windowing (4 s windows every 3 s, 0.5 s discarded at inner edges), features, STFT and resynthesis follow ClearVoice's decodeoneaudiomossformer2se48k and are done by the application. Exported output matches PyTorch to a maximum relative error of 1.5e-5. SHA-256: aa0a90d954b033d83886c48a32166e395d49152f2b453751caa39af60d00f337 Size: 228,228,370 bytes All credit for the model belongs to its authors; this repository only repackages it for ONNX Runtime. The speaker-embedding model…

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Model overview

tdson/voicehospital-denoise is a task-unspecified model repository published by tdson on Hugging Face. A library was not reported.

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Model facts

Task: Not reported
Library: Not reported
Recent downloads (30 days): 0
Cumulative likes: 0
Hugging Face trending score: 0
Reported safetensors parameters: Not reported
Architecture: Not reported
License: apache-2.0
Access: Not gated by Hugging Face
Created: 2026-09-22T06:22:40.000Z
Last modified: 2026-09-22T06:26:17.000Z

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Reported base models: alibabasglab/MossFormer2_SE_48K

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