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DNS-Noise

DNS-Challenge noise_fullband and impulse_responses republished as 24 kHz mono FLAC for on-demand streaming augmentation, plus a microphone-characteristics split. Three splits:

  • noise — environmental noise (long files segmented into chunks)
  • rir — room impulse responses (one row per file)
  • mic_ir — microphone impulse responses (one row per file)
from datasets import load_dataset
noise  = load_dataset("ChristianYang/DNS-Noise", split="noise",  streaming=True)
rir    = load_dataset("ChristianYang/DNS-Noise", split="rir",    streaming=True)
mic_ir = load_dataset("ChristianYang/DNS-Noise", split="mic_ir", streaming=True)

mic_ir split

Microphone impulse responses for simulating microphone frequency colouration, aggregated from three sources. source_file is prefixed with the source dataset:

prefix source content
madir/ Zenodo 4633508 — Multi-Angle, Multi-Distance Microphone Impulse Response Dataset (CC-BY-4.0) studio mics, Raw_IRs only, one bit-depth variant per IR (24-bit preferred); folder names encode mic model, polar pattern, distance and angle
micirp/ MicIRP via audb v1.0.0 (CC BY-SA 4.0) vintage/classic microphones
ctf_2020_tiny_irs/ Collected Transients "Tiny IRs" (2020) consumer-device microphone captures (cellphone/tablet/laptop/camera mics, incl. mic-through-speaker chains); pure loudspeaker IRs are excluded

Processing: mixed down to mono, resampled to 24 kHz (soxr HQ), peak-normalised to 0.97, encoded as 16-bit FLAC. Absolute level is not meaningful — normalise IR energy before convolution.

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