Datasets:

Ediethia
/

Libri-AudioEvent

speech_event string	noise_event string	noise_time string	noise_root string
Speech*Male speech, man speaking	Music	3.30s-9.84s	Music
Speech*Female speech, woman speaking	Music*Knock	0.61s-7.63s	Music*Source-ambiguous sounds
Speech*Female speech, woman speaking	Ice cream truck, ice cream van	0.68s-7.57s	Sounds of things
Speech*Male speech, man speaking	Animal	0.40s-9.95s	Animal
Speech*Male speech, man speaking	Snoring	0.07s-6.94s	Human sounds
Speech*Female speech, woman speaking	Waves, surf*Ocean	0.60s-9.44s	Natural sounds
Speech*Male speech, man speaking	Music*Distortion	4.47s-9.27s	Music*Channel, environment and background
Speech*Female speech, woman speaking	Bird	0.99s-6.39s	Animal
Speech*Male speech, man speaking	Music*Tap	0.04s-9.93s	Music*Source-ambiguous sounds
Speech*Female speech, woman speaking	Car alarm	0.00s-6.35s	Sounds of things
Speech*Female speech, woman speaking	Snoring	1.73s-6.81s	Human sounds
Speech*Male speech, man speaking	Sink (filling or washing)Water tap, faucetWater	0.49s-9.73s	Natural sounds*Sounds of things
Speech*Female speech, woman speaking	Mains hum*Hum	1.16s-9.54s	Source-ambiguous sounds*Channel, environment and background
Speech*Male speech, man speaking	Whistling	0.01s-7.87s	Human sounds
Speech*Male speech, man speaking	Bee, wasp, etc.	0.99s-8.62s	Animal
Speech*Female speech, woman speaking	Rain*Rain on surface	0.36s-9.86s	Natural sounds
Speech*Female speech, woman speaking	Music*Television	0.75s-8.67s	Music*Channel, environment and background
Speech*Male speech, man speaking	Snoring	0.01s-9.98s	Human sounds
Speech*Male speech, man speaking	Rain*Thunderstorm	0.31s-9.39s	Natural sounds
Speech*Female speech, woman speaking	TurkeyFowlGobble	0.12s-9.90s	Animal
Speech*Female speech, woman speaking	Clip-clop	1.62s-7.42s	Source-ambiguous sounds
Speech*Male speech, man speaking	Chainsaw	5.19s-9.71s	Sounds of things
Speech*Male speech, man speaking	Mains hum*Hum	0.06s-9.94s	Source-ambiguous sounds*Channel, environment and background
Speech*Female speech, woman speaking	Snoring	0.79s-9.95s	Human sounds
Speech*Male speech, man speaking	Music*Quack	0.50s-9.37s	Music*Animal
Speech*Female speech, woman speaking	Computer keyboard*Typing	1.29s-9.78s	Sounds of things
Speech*Male speech, man speaking	Waves, surf*Ocean	0.50s-9.87s	Natural sounds
Speech*Female speech, woman speaking	Music*Television	1.07s-7.27s	Music*Channel, environment and background
Speech*Female speech, woman speaking	BirdBird vocalization, bird call, bird songChirp, tweet	0.41s-9.31s	Animal*Source-ambiguous sounds
Speech*Male speech, man speaking	Snoring	0.64s-9.66s	Human sounds
Speech*Male speech, man speaking	Hammer	0.10s-9.28s	Sounds of things
Speech*Female speech, woman speaking	RainThunderstormThunder	2.29s-8.89s	Natural sounds
Speech*Male speech, man speaking	Radio*Noise	0.29s-8.63s	Channel, environment and background
Speech*Female speech, woman speaking	Sine wave*Chirp tone	1.09s-9.62s	Source-ambiguous sounds
Speech*Male speech, man speaking	Fart	2.60s-6.68s	Human sounds
Speech*Female speech, woman speaking	Croak*Frog	1.60s-9.51s	Animal
Speech*Female speech, woman speaking	Music*Skateboard	0.33s-9.97s	Music*Sounds of things
Speech*Male speech, man speaking	Steam*Hiss	0.00s-10.00s	Natural sounds*Source-ambiguous sounds
Speech*Female speech, woman speaking	Mains hum*Hum	0.99s-9.00s	Source-ambiguous sounds*Channel, environment and background
Speech*Male speech, man speaking	Purr	2.00s-9.94s	Animal
Speech*Female speech, woman speaking	Whistling	0.20s-7.03s	Human sounds
Speech*Male speech, man speaking	Printer	0.22s-6.64s	Sounds of things
Speech*Female speech, woman speaking	Thunder	1.03s-8.90s	Natural sounds
Speech*Male speech, man speaking	Heart sounds, heartbeatThrobbingHum	0.65s-9.76s	Human soundsSource-ambiguous soundsChannel, environment and background
Speech*Female speech, woman speaking	Music	2.08s-7.99s	Music
Speech*Male speech, man speaking	Wind chime*Chime	0.21s-9.94s	Sounds of things
Speech*Male speech, man speaking	Bird*Pigeon, dove	0.94s-8.17s	Animal
Speech*Female speech, woman speaking	Thunderstorm*Thunder	1.11s-8.60s	Natural sounds
Speech*Female speech, woman speaking	Music*Television	0.72s-9.22s	Music*Channel, environment and background
Speech*Male speech, man speaking	Sigh	1.26s-8.76s	Human sounds
Speech*Male speech, man speaking	Writing	0.71s-8.30s	Sounds of things
Speech*Female speech, woman speaking	Animal	0.07s-7.93s	Animal
Speech*Female speech, woman speaking	Waves, surf*Ocean	2.72s-7.72s	Natural sounds
Speech*Male speech, man speaking	Mains hum*Hum	2.57s-8.42s	Source-ambiguous sounds*Channel, environment and background
Speech*Male speech, man speaking	Music	2.04s-6.05s	Music
Speech*Female speech, woman speaking	Crow	0.93s-8.97s	Animal
Speech*Female speech, woman speaking	Whistling	0.92s-8.89s	Human sounds
Speech*Male speech, man speaking	Water	0.01s-9.83s	Natural sounds
Speech*Female speech, woman speaking	Fireworks	3.47s-9.43s	Sounds of things
Speech*Male speech, man speaking	Pink noise	1.18s-7.78s	Channel, environment and background
Speech*Male speech, man speaking	Music	0.90s-9.58s	Music
Speech*Female speech, woman speaking	Whip	4.50s-9.46s	Source-ambiguous sounds
Speech*Male speech, man speaking	Sniff	0.45s-8.15s	Human sounds
Speech*Female speech, woman speaking	Hammer	2.48s-7.69s	Sounds of things
Speech*Female speech, woman speaking	Livestock, farm animals, working animals	3.12s-9.01s	Animal
Speech*Male speech, man speaking	Rain*Rain on surface	0.86s-9.77s	Natural sounds
Speech*Male speech, man speaking	Mains hum*Hum	0.00s-10.00s	Source-ambiguous sounds*Channel, environment and background
Speech*Female speech, woman speaking	Music	0.82s-9.41s	Music
Speech*Female speech, woman speaking	Music*Boom	0.56s-9.73s	Music*Sounds of things
Speech*Male speech, man speaking	Stomach rumble	0.34s-9.90s	Human sounds
Speech*Male speech, man speaking	Waves, surf	0.82s-9.81s	Natural sounds
Speech*Female speech, woman speaking	Croak*Frog	1.08s-9.83s	Animal
Speech*Male speech, man speaking	Cacophony	0.10s-8.78s	Channel, environment and background
Speech*Female speech, woman speaking	Insect*Cricket	0.00s-10.00s	Animal
Speech*Female speech, woman speaking	Firecracker	1.04s-9.25s	Sounds of things
Speech*Male speech, man speaking	Fart	4.30s-9.66s	Human sounds
Speech*Male speech, man speaking	Thunder	0.75s-5.39s	Natural sounds
Speech*Female speech, woman speaking	Plop	4.88s-9.52s	Source-ambiguous sounds
Speech*Female speech, woman speaking	Music*Radio	0.06s-9.94s	Music*Channel, environment and background
Speech*Male speech, man speaking	Animal	0.22s-8.13s	Animal
Speech*Male speech, man speaking	Whip	0.31s-9.49s	Source-ambiguous sounds
Speech*Female speech, woman speaking	Helicopter	1.05s-5.74s	Sounds of things
Speech*Female speech, woman speaking	RainThunderstormThunder	0.13s-9.85s	Natural sounds
Speech*Male speech, man speaking	Sneeze	0.14s-8.20s	Human sounds
Speech*Female speech, woman speaking	Radio	4.51s-9.66s	Channel, environment and background
Speech*Male speech, man speaking	Music	2.61s-8.79s	Music
Speech*Female speech, woman speaking	Snoring	0.54s-9.38s	Human sounds
Speech*Male speech, man speaking	Filing (rasp)*Rub	0.29s-9.98s	Sounds of things*Source-ambiguous sounds
Speech*Male speech, man speaking	Bird*Chirp, tweet	0.00s-10.00s	Animal*Source-ambiguous sounds
Speech*Female speech, woman speaking	Ocean	0.81s-8.39s	Natural sounds
Speech*Male speech, man speaking	Music*Television	0.68s-8.33s	Music*Channel, environment and background
Speech*Female speech, woman speaking	Ocean	0.05s-8.46s	Natural sounds
Speech*Male speech, man speaking	Snoring	0.62s-9.97s	Human sounds
Speech*Female speech, woman speaking	Bird*Pigeon, dove	0.75s-9.75s	Animal
Speech*Female speech, woman speaking	Whistle	0.45s-7.93s	Sounds of things
Speech*Male speech, man speaking	Music*Television	1.04s-9.38s	Music*Channel, environment and background
Speech*Male speech, man speaking	Burping, eructation	2.88s-9.45s	Human sounds
Speech*Female speech, woman speaking	Domestic animals, pets*Animal	0.75s-8.20s	Animal
Speech*Male speech, man speaking	Music*Tap	0.03s-10.00s	Music*Source-ambiguous sounds
Speech*Female speech, woman speaking	Fireworks	1.62s-9.34s	Sounds of things

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Libri-AudioEvent

Libri-AudioEvent is a synthesized noisy-speech dataset containing matched noisy speech, clean speech, and noise signals.

All clips are sampled at 16 kHz with 10s duration.

Dataset Structure

The repository contains 4 splits:

training
validation
test_mix
test_iso

Each split file contains:

metadata.csv
noisy/
clean/
noise/

Scale of data:

Training	Validation	Test-Mix	Test-Iso
10,800	500	200	200

Extract Dataset

Prerequisite:

pip install datasets soundfile

Download from Huggingface and extract all splits:

python extract_from_parquet.py \
  --dataset Ediethia/Libri-AudioEvent \
  --out_dir Libri-AudioEvent

Extract all splits in local path:

python extract_from_parquet.py \
  --parquet_root /path/to/parquet_data \
  --out_dir Libri-AudioEvent

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