datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
DNS-Challenge
Deep Noise Suppression (DNS) Challenge - Interspeech 2020
This repository contains the datasets and scripts required for the DNS challenge. For more details about the challenge, please visit https://dns-challenge.azurewebsites.net/ and refer to our paper.
Repo details:
The datasets directory contains the clean speech and noise clips.
The NSNet-baseline directory contains the inference scripts and the ONNX model for the baseline Speech Enhancer called Noise Suppression… See the full description on the dataset page: https://huggingface.co/datasets/ltnghia/DNS-Challenge.DNS-Challenge
Deep Noise Suppression (DNS) Challenge - Interspeech 2020
This repository contains the datasets and scripts required for the DNS challenge. For more details about the challenge, please visit https://dns-challenge.azurewebsites.net/ and refer to our paper.
Repo details:
The datasets directory contains the clean speech and noise clips.
The NSNet-baseline directory contains the inference scripts and the ONNX model for the baseline Speech Enhancer called Noise… See the full description on the dataset page: https://huggingface.co/datasets/0x3/DNS-Challenge.DNS-Challenge-2020-DevTest-16k
DNS Challenge 2020 Dev Test Set
Preprocessed dev test set from the Interspeech 2020 DNS Challenge.
Dataset Structure
Split
Samples
Clean Reference
Description
synthetic_no_reverb
150
✓
Anechoic synthetic mixtures
synthetic_with_reverb
150
✓
Reverberant synthetic mixtures
real_recordings
300
✗
Real-world noisy recordings
Usage
from datasets import load_dataset
ds = load_dataset("nkdem/DNS-Challenge-2020-DevTest-16k")
# Access a sample… See the full description on the dataset page: https://huggingface.co/datasets/nkdem/DNS-Challenge-2020-DevTest-16k.