denoising model
Overview
This speech-enhancement model is designed to isolate clean vocal tracks by removing background noise and environmental interference from raw audio inputs. For developers building VoIP applications, transcription pipelines, or accessibility tools, this model serves as a critical preprocessing layer to improve Word Error Rate (WER) in downstream ASR systems. It is released under the Apache-2.0 license, ensuring flexibility for commercial integration. Unlike general-purpose audio filters, this model focuses specifically on speech preservation, making it suitable for real-time streaming or batch processing of noisy recordings where voice clarity is paramount.
Highlights
- Optimizes audio quality for downstream ASR pipelines
- Apache-2.0 license allows flexible commercial deployment
- Effective removal of ambient background noise
- Streamlines preprocessing for voice-driven applications
Usage
Install
# Install Hugging Face transformers
pip install transformers torchSDK Usage
# Load model with transformers
from transformers import AutoModel, AutoTokenizer
model = AutoModel.from_pretrained("irfansyhptra/denoising-model")
tokenizer = AutoTokenizer.from_pretrained("irfansyhptra/denoising-model")Hugging Face Download
We recommend downloading the model via the Hugging Face CLI or Hub SDK.
Guidance：Before downloading, install huggingface_hub with:
Guidance
pip install -U huggingface_hubCLI Download
Download the full repository
Download the full repository
huggingface-cli download irfansyhptra/denoising-modelDownload a single file to a local folder (e.g. config.json into ./dir)
Download a single file to a local folder (e.g. config.json into ./dir)
huggingface-cli download irfansyhptra/denoising-model config.json --local-dir ./dirSee the official docs for more CLI options
SDK Download
SDK Download
# 模型下载
from huggingface_hub import snapshot_download
model_dir = snapshot_download('irfansyhptra/denoising-model')Git Download
Make sure git-lfs is installed first
Git Download
git lfs install
git clone https://huggingface.co/irfansyhptra/denoising-modelTo skip LFS large-file downloads, use:
Skip LFS
GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/irfansyhptra/denoising-modelModel files are hosted on the Hugging Face Hub — download directly via HF CLI / SDK / Git, not through this site.
PyTorch / Transformers Usage
Install Transformers
Install Transformers
pip install -U transformers torchLoad the model and run inference
Load the model and run inference
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained('irfansyhptra/denoising-model')
tokenizer = AutoTokenizer.from_pretrained('irfansyhptra/denoising-model')