Model reference · open weights
dasheng-denoiser is an open-weight audio or speech model from mispeech. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.
Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.
What it is
| Released by | mispeech |
|---|---|
| Type | Audio & music |
| Task | Audio→audio |
| Parameters (lead) | 119M |
| Runs with | transformers |
| Released | 2026-03-03 |
| Popularity | 633 downloads / month |
| Licence | Open weights |
About
Dasheng Denoiser Official PyTorch inference code for the Interspeech 2025 paper:
uv pip install transformers torch torchaudio einops
import torch
import torchaudio
from transformers import AutoModel
model = AutoModel.from_pretrained("mispeech/dasheng-denoiser", trust_remote_code=True)
model.eval()
# Load audio file (only 16kHz supported!)
audio, sr = torchaudio.load("path/to/audio.wav")
with torch.no_grad(), torch.autocast(device_type='cuda'):
enhanced = model(audio)
torchaudio.save("enhanced_audio.wav", enhanced, sr)
We referred to Dasheng and Vocos to implement this.
@inproceedings{xingwei2025dashengdenoiser,
title={Efficient Speech Enhancement via Embeddings from Pre-trained Generative Audioencoders},
author={Xingwei Sun, Heinrich Dinkel, Yadong Niu, Linzhang Wang, Junbo Zhang, Jian Luan},
booktitle={Interspeech 2025},
year={2025}
}
From the published model card. Full card on the HuggingFace links in the sidebar.
Using it via the API
Once AxForge deploys dasheng-denoiser for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (dasheng-denoiser below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/audio/transcriptions \ -H "Authorization: Bearer $AXFORGE_API_KEY" \ -F model="dasheng-denoiser" -F file=@audio.mp3
Create an account — your API key is available in the console. 3M free tokens every 30 days with every new account.