---
license: other
license_name: aec-challenge-mixed
license_link: https://github.com/microsoft/AEC-Challenge#dataset-licenses
tags:
  - audio
  - acoustic-echo-cancellation
  - speech-enhancement
  - fluidaudio
---

# AEC-Challenge synthetic mini (200 examples)

First 200 examples (shard 0, dataset order) of the Microsoft AEC-Challenge
synthetic set (https://github.com/microsoft/AEC-Challenge/tree/main/datasets/synthetic,
Sridhar et al., ICASSP 2021, arXiv:2009.04972), exported from the
`PandaLT/microsoft-AEC-dataset` parquet mirror as 16 kHz 16-bit mono WAV:

- `fileid_<id>_mic.wav`   near-end microphone signal (near-end speech + echo, optionally noise)
- `fileid_<id>_lpb.wav`   far-end / loopback signal (what the loudspeaker played)
- `fileid_<id>_clean.wav` clean near-end speech (target; unscaled — see `nearend_scale`)
- `meta.csv`              per-example `ser`, `is_farend_noisy`, `is_nearend_noisy`,
                          `nearend_scale`, `is_farend_nonlinear` from the upstream meta.csv

Used by `fluidaudiocli enhance-benchmark` (FluidAudio) to score echo cancellers:
near-end word recall, WER and far-end word leakage measured with ASR.

## License

Microsoft provides the datasets "as is" under the original terms of the source
material: clean speech from LibriVox (public domain) and the Edinburgh 56-speaker
dataset; noise from AudioSet (CC BY 4.0), Freesound (CC0 only) and DEMAND
(CC BY-SA 3.0). See the AEC-Challenge README for the full notice.

## Files

`aec-synthetic-mini.tar.gz` extracts to `aec-synthetic-mini/` (601 WAVs + meta.csv, 185 MB).