aec-challenge
aec-challenge-16k
Microsoft AEC Challenge 16kHz
Microsoft AEC Challenge dataset
converted from 16kHz WAV to FLAC (lossless compression) and packed into tar shards.
Source: the datasets/ directory of the microsoft/AEC-Challenge Git LFS repo.
Covers all challenge years (2021, ICASSP 2022, ICASSP 2023).
Structure
Real recordings
Paired loopback (far-end reference) and microphone recordings from real devices.
real/ — 37,578 files, single playback real recordings
real_doubled/ — 10… See the full description on the dataset page: https://huggingface.co/datasets/richiejp/aec-challenge-16k.aec-challenge-16k
Microsoft AEC Challenge 16kHz
Microsoft AEC Challenge dataset
converted from 16kHz WAV to FLAC (lossless compression) and packed into tar shards.
Source: the datasets/ directory of the microsoft/AEC-Challenge Git LFS repo.
Covers all challenge years (2021, ICASSP 2022, ICASSP 2023).
Structure
Real recordings
Paired loopback (far-end reference) and microphone recordings from real devices.
real/ — 37,578 files, single playback real recordings… See the full description on the dataset page: https://huggingface.co/datasets/Robby-dev/aec-challenge-16k.aec-challenge-synthetic-mini
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… See the full description on the dataset page: https://huggingface.co/datasets/FluidInference/aec-challenge-synthetic-mini.aec-challenge-48k
AEC Challenge 48 kHz Community Mirror
This dataset is a community mirror of the 48 kHz synthetic_fullband data from the
2022 AEC Challenge. The original upstream download is no longer available.
The recovered archive contains three synchronized audio tracks:
target: near-end target speech
mic: microphone mixture
farend: far-end reference audio
This is not an official Microsoft repository. The mirror preserves the recovered
archive as-is and does not add generated training… See the full description on the dataset page: https://huggingface.co/datasets/haor/aec-challenge-48k.