---
license: cc-by-4.0
dataset_info:
  features:
  - name: audio
    dtype: audio
  - name: name
    dtype: string
configs:
  - config_name: default
    data_files:
      - split: 16k
        path: data/16k-*.parquet
      - split: 48k
        path: data/48k-*.parquet
---

# DEMAND: Diverse Environments Multichannel Acoustic Noise Database

This is a mirror of the [DEMAND: Diverse Environments Multichannel Acoustic Noise Database](https://zenodo.org/records/1227121).
The original files were segmented and converted from WAV to Opus to reduce the size and accelerate streaming.

- **Sampling rate**: 16 kHz and 48 kHz
- **Channels**: 1 (individual channels are distributed as separate files)
- **Format**: Opus
- **Splits**:
  - **16k**: 22.7 hours, 6800 segments (each channel is treated as a separate file)
  - **48k**: 24.0 hours, 7200 segments (each channel is treated as a separated file)
- **License:** CC BY 4.0
- **Source:** [https://zenodo.org/records/1227121](https://zenodo.org/records/1227121)
- **Paper:** [The Diverse Environments Multi-channel Acoustic Noise Database (DEMAND): A database of multichannel environmental noise recordings](https://doi.org/10.1121/1.4799597)

## Usage

```python
import io

import soundfile as sf
from datasets import Features, Value, load_dataset

for item in load_dataset(
    "philgzl/demand",
    split="16k",
    streaming=True,
    features=Features({"audio": Value("binary"), "name": Value("string")}),
):
    print(item["name"])
    buffer = io.BytesIO(item["audio"])
    x, fs = sf.read(buffer)
    # do stuff...
```

## Citation

```bibtex
@inproceedings{thiemann2013demand,
  title = {The diverse environments multi-channel acoustic noise database ({DEMAND}): {A} database of multichannel environmental noise recordings},
  author = {Thiemann, Joachim and Ito, Nobutaka and Vincent, Emmanuel},
  booktitle = {Proc. ICA},
  pages = {035081},
  year = {2013},
}
```