Datasets:
audio audioduration (s) 10 10 | duration float32 10 10 | source_file stringlengths 19 19 | sample_rate int32 24k 24k |
|---|---|---|---|
10 | -2Ys4Mrt_38.wav#000 | 24,000 | |
10 | -2rFA4BrQpc.wav#000 | 24,000 | |
10 | -2sqUtkhKkw.wav#000 | 24,000 | |
10 | -3J_05YgkQw.wav#000 | 24,000 | |
10 | -3kt0GobDIM.wav#000 | 24,000 | |
10 | -3nUM6ZBUOY.wav#000 | 24,000 | |
10 | -4-87UgJcUw.wav#000 | 24,000 | |
10 | -4cbFBwZMSw.wav#000 | 24,000 | |
10 | -A9bKRkhJo0.wav#000 | 24,000 | |
10 | -AMnswk8M-4.wav#000 | 24,000 | |
10 | -AQjP_D4Xk8.wav#000 | 24,000 | |
10 | -AX4UT8h78Y.wav#000 | 24,000 | |
10 | -AkYtnUbOVs.wav#000 | 24,000 | |
10 | -An_1cTrMBk.wav#000 | 24,000 | |
10 | -AnphZFN_WE.wav#000 | 24,000 | |
10 | -BEM8cQK4yk.wav#000 | 24,000 | |
10 | -M88hG5X8fQ.wav#000 | 24,000 | |
10 | -MJ1Vr7l84w.wav#000 | 24,000 | |
10 | -MmMjzwzEmw.wav#000 | 24,000 | |
10 | -Mo_okgG5q0.wav#000 | 24,000 | |
10 | -MuIZmHYuwI.wav#000 | 24,000 | |
10 | -N-5_fK6EMM.wav#000 | 24,000 | |
10 | -NDCRcdZsLg.wav#000 | 24,000 | |
10 | -NvqLToFga0.wav#000 | 24,000 | |
10 | -DcsYICnJcg.wav#000 | 24,000 | |
10 | -DiNxxZ_H5w.wav#000 | 24,000 | |
10 | -E13UQ4kP9Q.wav#000 | 24,000 | |
10 | -E1Vroh3yh0.wav#000 | 24,000 | |
10 | -EJgcGwjCJs.wav#000 | 24,000 | |
10 | -ENJDAYN5jU.wav#000 | 24,000 | |
10 | -EcQWP49XO0.wav#000 | 24,000 | |
10 | -Ejy1cfmrYE.wav#000 | 24,000 | |
10 | -HnhA4dKbGQ.wav#000 | 24,000 | |
10 | -IQxaNENe78.wav#000 | 24,000 | |
10 | -Iq-OpawOWE.wav#000 | 24,000 | |
10 | -J60og_pQtQ.wav#000 | 24,000 | |
10 | -KsTp_GYBoU.wav#000 | 24,000 | |
10 | -LR6jZzVFHs.wav#000 | 24,000 | |
10 | -LaEoF4j1Rk.wav#000 | 24,000 | |
10 | -LtKxs2D50M.wav#000 | 24,000 | |
10 | --OBFOUWZi0.wav#000 | 24,000 | |
10 | --WKuD_46Fk.wav#000 | 24,000 | |
10 | -0MrdSRq3cQ.wav#000 | 24,000 | |
10 | -1bchAh0bCk.wav#000 | 24,000 | |
10 | -1s84_2Vn4g.wav#000 | 24,000 | |
10 | -1vnMOhaArA.wav#000 | 24,000 | |
10 | -2LJWaL2PuA.wav#000 | 24,000 | |
10 | -2RpdYJ86O8.wav#000 | 24,000 | |
10 | -ZpB_r828xA.wav#000 | 24,000 | |
10 | -_OPiq-Tc9Q.wav#000 | 24,000 | |
10 | -_xbAk_VFHU.wav#000 | 24,000 | |
10 | -a_E8HiQSuo.wav#000 | 24,000 | |
10 | -asB1JaTIy4.wav#000 | 24,000 | |
10 | -au-gKBIqRk.wav#000 | 24,000 | |
10 | -bMO66ajBN0.wav#000 | 24,000 | |
10 | -bX-ZihsRtQ.wav#000 | 24,000 | |
10 | -EmBes9F9O8.wav#000 | 24,000 | |
10 | -FD8hQshnFo.wav#000 | 24,000 | |
10 | -FETUSTJUo4.wav#000 | 24,000 | |
10 | -GBL0VD7oaA.wav#000 | 24,000 | |
10 | -GSAOBLWhz0.wav#000 | 24,000 | |
10 | -HXbstyBCYY.wav#000 | 24,000 | |
10 | -Hcn9B9DRqg.wav#000 | 24,000 | |
10 | -HdYwS49Gns.wav#000 | 24,000 | |
10 | 0kmV_zsOtdU.wav#000 | 24,000 | |
10 | 0l5ar9lnnGw.wav#000 | 24,000 | |
10 | 0ljJorV_PPk.wav#000 | 24,000 | |
10 | 0luWbsjyv4k.wav#000 | 24,000 | |
10 | 0mE_QHX53WY.wav#000 | 24,000 | |
10 | 0meMH1tKi1o.wav#000 | 24,000 | |
10 | 0mxBjKUwGWU.wav#000 | 24,000 | |
10 | 0nMRa7gh1Tc.wav#000 | 24,000 | |
10 | -BSpiJTCHmo.wav#000 | 24,000 | |
10 | -BaMFLQMRWg.wav#000 | 24,000 | |
10 | -BxGYQqm2Es.wav#000 | 24,000 | |
10 | -C9jCS3Vb9c.wav#000 | 24,000 | |
10 | -CS7b7BK7yo.wav#000 | 24,000 | |
10 | -CdddXvVQwM.wav#000 | 24,000 | |
10 | -CepfaU3-ZY.wav#000 | 24,000 | |
10 | -D8dsr8DfW8.wav#000 | 24,000 | |
10 | -O2S-coiv90.wav#000 | 24,000 | |
10 | -OMdnou20dc.wav#000 | 24,000 | |
10 | -OW80ngpmqk.wav#000 | 24,000 | |
10 | -OrSYfdmkxU.wav#000 | 24,000 | |
10 | -PMesPHaTvo.wav#000 | 24,000 | |
10 | -PY9ceOsGfE.wav#000 | 24,000 | |
10 | -Pfqe1LcYXw.wav#000 | 24,000 | |
10 | -PvzqA9aLJE.wav#000 | 24,000 | |
10 | -bXWwiG1sWA.wav#000 | 24,000 | |
10 | -bZrDCS8KAg.wav#000 | 24,000 | |
10 | -bnjqdi3nDE.wav#000 | 24,000 | |
10 | -bvO3xgQe2o.wav#000 | 24,000 | |
10 | -c7qhi8wuew.wav#000 | 24,000 | |
10 | -cF_Z7bxI1Y.wav#000 | 24,000 | |
10 | -cKbOLMm0yo.wav#000 | 24,000 | |
10 | -cNY6fbbldY.wav#000 | 24,000 | |
10 | -XPgaXTF6M8.wav#000 | 24,000 | |
10 | -Y1n_bSOPQk.wav#000 | 24,000 | |
10 | -YC4KpvYO_0.wav#000 | 24,000 | |
10 | -YR7ghqOXZM.wav#000 | 24,000 |
End of preview. Expand in Data Studio
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.
- Downloads last month
- 115