Datasetpublic

philgzl/ears

EARS: Expressive Anechoic Recordings of Speech This is a mirror of the Expressive Anechoic Recordings of Speech (EARS) dataset. The original files were converted from WAV to Opus to reduce the size and accelerate streaming. Sampling rate: 48 kHz Channels: 1 Format: Opus Splits: Train: 92 hours, 15939 utterances, speakers p001 to p099 Validation: 2 hours, 322 utterances, speakers p100 and p101 Test: 6 hours, 966 utterances, speakers p102 to p107 License: CC BY-NC 4.0 Source:… See the full description on the dataset page: https://huggingface.co/datasets/philgzl/ears.

sourceHugging Facecc-by-nc-4.0updated 1y agoView on Hugging Face

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Dataset Card

EARS: Expressive Anechoic Recordings of Speech

This is a mirror of the Expressive Anechoic Recordings of Speech (EARS) dataset. The original files were converted from WAV to Opus to reduce the size and accelerate streaming.

—Sampling rate: 48 kHz
—Channels: 1
—Format: Opus
—Splits:
—Train: 92 hours, 15939 utterances, speakers p001 to p099
—Validation: 2 hours, 322 utterances, speakers p100 and p101
—Test: 6 hours, 966 utterances, speakers p102 to p107
—License: CC BY-NC 4.0
—Source: github.com/facebookresearch/ears_dataset
—Paper: EARS: An Anechoic Fullband Speech Dataset Benchmarked for Speech Enhancement and Dereverberation

Usage

python

import io

import soundfile as sf
from datasets import Features, Value, load_dataset

for item in load_dataset(
    "philgzl/ears",
    split="train",
    streaming=True,
    features=Features({"audio": Value("binary"), "name": Value("string")}),
):
    print(item["name"])
    buffer = io.BytesIO(item["audio"])
    x, fs = sf.read(buffer)
    # do stuff...

Citation

bibtex

@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 = {Proc. Interspeech},
  pages = {4873--4877},
  year = {2024},
}