Datasets:

FluidInference
/

aec-challenge-synthetic-mini

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).