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README.md
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---
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license: cc-by-4.0
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task_categories:
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- audio-classification
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tags:
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- speech
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- noise
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- room-impulse-response
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- acoustic-echo-cancellation
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- dns-challenge
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pretty_name: DNS5 16kHz (resampled)
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---
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# DNS5 16kHz
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Resampled subset of the [ICASSP 2022 DNS Challenge](https://github.com/microsoft/DNS-Challenge) dataset.
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All audio files resampled from 48kHz to **16kHz** and stored as **FLAC** (lossless compression),
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packed into tar shards.
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## Structure
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```
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clean/shard_0000.tar # Clean speech (VCTK and other corpora)
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clean/shard_0001.tar
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...
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noise/shard_0000.tar # Environmental noise (AudioSet, Freesound)
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...
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impulse_responses/shard_0000.tar # Room impulse responses
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...
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```
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Each tar contains FLAC files with their original directory structure preserved.
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## Usage
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```python
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from huggingface_hub import snapshot_download
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import tarfile
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from pathlib import Path
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# Download
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local = snapshot_download("richiejp/dns5-16k", local_dir="/data/dns5", repo_type="dataset")
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# Extract all shards
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for tar_path in sorted(Path(local).rglob("*.tar")):
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with tarfile.open(tar_path) as tf:
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tf.extractall(tar_path.parent)
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```
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## Source
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Original data from Microsoft's DNS Challenge:
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- https://github.com/microsoft/DNS-Challenge
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- License: CC-BY-4.0 (see original repo for details)
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