metadata
dataset_info:
features:
- name: sentence
dtype: string
- name: audio
dtype:
audio:
sampling_rate: 48000
splits:
- name: train
num_bytes: 330598119.934
num_examples: 1121
download_size: 351795253
dataset_size: 330598119.934
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: apache-2.0
task_categories:
- automatic-speech-recognition
- text-to-speech
language:
- ga
size_categories:
- 1K<n<10K
Dataset Details
Living Audio Irish speech corpus. This version is based on the Irish dataset on Kaggle. The original dataset with audio in more languages is available on GitHub as part of the Idlak project.
The details of the Irish portion of the Living Audio dataset are as follows:
Speaker | Language | Accent | Gender | Total duration(mm:ss) | Sample rate (Hz) |
---|---|---|---|---|---|
CLL | Irish (ga) | Non-native (ie) | Man | 61:56 | 48,000 |
Dataset Structure
Dataset({
features: ['sentence', 'audio'],
num_rows: 1121
})
How to load the dataset
from datasets import load_dataset
living_audio_dataset = load_dataset("ymoslem/Living-Audio-Irish",
split="train",
trust_remote_code=True
)
Citation
@inproceedings{braude19_interspeech,
author={David A. Braude and Matthew P. Aylett and Caoimhín Laoide-Kemp and Simone Ashby and Kristen M. Scott and Brian Ó Raghallaigh and Anna Braudo and Alex Brouwer and Adriana Stan},
title={{All Together Now: The Living Audio Dataset}},
year=2019,
booktitle={Proc. Interspeech 2019},
pages={1521--1525},
doi={10.21437/Interspeech.2019-2448}
}