Datasetpublic

richiejp/dns5-16k

DNS5 16kHz Resampled subset of the ICASSP 2022 DNS Challenge dataset. All audio files resampled from 48kHz to 16kHz and stored as FLAC (lossless compression), packed into tar shards. Structure clean/shard_0000.tar # Clean speech (VCTK and other corpora) clean/shard_0001.tar ... noise/shard_0000.tar # Environmental noise (AudioSet, Freesound) ... impulse_responses/shard_0000.tar # Room impulse responses ... Each tar contains FLAC files with… See the full description on the dataset page: https://huggingface.co/datasets/richiejp/dns5-16k.

sourceHugging Facecc-by-4.0updated 6mo agoView on Hugging Face

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Dataset Card

DNS5 16kHz

Resampled subset of the ICASSP 2022 DNS Challenge dataset.

All audio files resampled from 48kHz to 16kHz and stored as FLAC (lossless compression), packed into tar shards.

Structure

clean/shard_0000.tar          # Clean speech (VCTK and other corpora)
clean/shard_0001.tar
...
noise/shard_0000.tar          # Environmental noise (AudioSet, Freesound)
...
impulse_responses/shard_0000.tar  # Room impulse responses
...

Each tar contains FLAC files with their original directory structure preserved.

Usage

python

from huggingface_hub import snapshot_download
import tarfile
from pathlib import Path

# Download
local = snapshot_download("richiejp/dns5-16k", local_dir="/data/dns5", repo_type="dataset")

# Extract all shards
for tar_path in sorted(Path(local).rglob("*.tar")):
    with tarfile.open(tar_path) as tf:
        tf.extractall(tar_path.parent)

Source

Original data from Microsoft's DNS Challenge:

—https://github.com/microsoft/DNS-Challenge
—License: CC-BY-4.0 (see original repo for details)