Datasets:
Add mic_ir split: MADIR + MicIRP + CTF 2020 Tiny IRs microphone impulse responses (24k mono FLAC)
47b9e46 verified | license: cc-by-4.0 | |
| task_categories: | |
| - audio-classification | |
| tags: | |
| - audio | |
| - noise | |
| - rir | |
| - augmentation | |
| - dns-challenge | |
| - microphone | |
| - impulse-response | |
| pretty_name: DNS Noise + RIR (24k mono) | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: noise | |
| path: noise/*.parquet | |
| - split: rir | |
| path: rir/*.parquet | |
| - split: mic_ir | |
| path: mic_ir/*.parquet | |
| # 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) | |
| ```python | |
| 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](https://zenodo.org/records/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](http://micirp.blogspot.com) via [audb](https://github.com/audeering/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. | |