/ears_dataset

Expressive Anechoic Recordings of Speech (EARS)

Primary LanguagePythonOtherNOASSERTION

EARS Dataset

We release the Expressive Anechoic Recordings of Speech (EARS) dataset.

If you use the dataset or any derivative of it, please cite our Paper

@inproceedings{richter2024ears,
  title={{EARS}: An Anechoic Fullband Speech Dataset Benchmarked for Speech Enhancement and Dereverberation},
  author={Richter, Julius and Wu, Yi-Chiao and Krenn, Steven and Welker, Simon and Lay, Bunlong and Watanabe, Shinjii and Richard, Alexander and Gerkmann, Timo},
  booktitle={Interspeech},
  year={2024}
}

For audio samples, visit the project page.

Highlights

  • 100 h of speech data from 107 speakers
  • high-quality recordings at 48 kHz in an anechoic chamber
  • high speaker diversity with speakers from different ethnicities and age range from 18 to 75 years
  • full dynamic range of human speech, ranging from whispering to yelling
  • 18 minutes of freeform monologues per speaker
  • sentence reading in 7 different reading styles (regular, loud, whisper, high pitch, low pitch, fast, slow)
  • emotional reading and freeform tasks covering 22 different emotions for each speaker

Download EARS Dataset

using bash

for X in $(seq -w 001 107); do
  curl -L https://github.com/facebookresearch/ears_dataset/releases/download/dataset/p${X}.zip -o p${X}.zip
  unzip p${X}.zip
  rm p${X}.zip
done

using python

run the EARS download script

python download_ears.py

Download Blind Testset with Noisy Speech

using bash

curl -L https://github.com/facebookresearch/ears_dataset/releases/download/blind_testset/blind_testset.zip -o blind_testset.zip
mkdir blind_testset
unzip blind_testset.zip -d blind_testset
rm blind_testset.zip

using python

run the blind testset download script

python download_blind_testset.py

Statistics and Transcripts

The speaker statistics (age, ethnicity, gender, weight, height, native language) for the 107 speakers are collected in speaker_statistics.json.

Transcripts of the reading portions of the dataset are available in transcripts.json.

License

The code and dataset are released under CC-NC 4.0 International license.