AEC-Challenge synthetic 200-example subset for enhance-benchmark

README.md

@@ -0,0 +1,37 @@
+---
+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).

aec-synthetic-mini.tar.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:45ff5d7acfce499558c25a0eace45eb819cec8aa76420fe733de7ee116ae548d
+size 128888168