Overview

These satellite denoising models are designed specifically for speech enhancement in challenging acoustic environments, focusing on isolating clear vocal signals from high-noise backgrounds. For developers building communication tools or telemetry analysis software, these models provide a robust way to preprocess audio streams before they hit downstream ASR (Automatic Speech Recognition) or NLP pipelines. Unlike general-purpose noise reduction, these are optimized for the specific spectral characteristics of satellite-linked audio. Integration is straightforward via standard speech-processing frameworks, and the Apache-2.0 license allows for flexible commercial deployment without restrictive overhead.

Highlights

Optimized for high-noise satellite audio environments
Improves ASR accuracy through cleaner signal preprocessing
Permissive Apache-2.0 license for commercial use
Seamless integration into speech-enhancement pipelines

Usage

Install

# Install Hugging Face transformers
pip install transformers torch

SDK Usage

# Load model with transformers
from transformers import AutoModel, AutoTokenizer

model = AutoModel.from_pretrained("Krupa1420/satellite-denoising-models")
tokenizer = AutoTokenizer.from_pretrained("Krupa1420/satellite-denoising-models")

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_hub

CLI Download

Download the full repository

huggingface-cli download Krupa1420/satellite-denoising-models

Download a single file to a local folder (e.g. config.json into ./dir)

huggingface-cli download Krupa1420/satellite-denoising-models config.json --local-dir ./dir

See the official docs for more CLI options

SDK Download

# 模型下载
from huggingface_hub import snapshot_download
model_dir = snapshot_download('Krupa1420/satellite-denoising-models')

Git Download

Make sure git-lfs is installed first

Git Download

git lfs install
git clone https://huggingface.co/Krupa1420/satellite-denoising-models

To skip LFS large-file downloads, use:

Skip LFS

GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/Krupa1420/satellite-denoising-models

Model files are hosted on the Hugging Face Hub — download directly via HF CLI / SDK / Git, not through this site.

PyTorch / Transformers Usage

Install Transformers

pip install -U transformers torch

Load the model and run inference

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained('Krupa1420/satellite-denoising-models')
tokenizer = AutoTokenizer.from_pretrained('Krupa1420/satellite-denoising-models')