Dataset Card for "iban_speech_corpus"

Dataset Summary

This Iban speech corpus is used for training of a Automatic Speech Recognition (ASR) model. This dataset contains the audio files (wav files) with its corresponding transcription.

For other resources such as pronunciation dictionary and Iban language model, please refer to the original dataset respository here.

How to use

The datasets library allows you to load and pre-process your dataset in pure Python, at scale. The dataset can be downloaded and prepared in one call to your local drive by using the load_dataset function.

from datasets import load_dataset

dataset = load_dataset("meisin123/iban_speech_corpus", split="train")

Dataset Structure

Data Instances

{'audio': {'path': 'ibf_001_001.wav',
  'array': array([ 5.72814941e-01,  5.49011230e-01, -1.82495117e-02, ...,
         -2.31628418e-02, -1.26342773e-02, -3.05175781e-05]),
  'sampling_rate': 16000},
 'transcription': 'pukul sepuluh malam'}

Data Fields

• audio: A dictionary containing the audio filename, the decoded audio array, and the sampling rate.

• transcription: the transcription of the audio file.

Dataset Creation

• Iban Data collected by Sarah Samson Juan and Laurent Besacier

Source Data

The audio files are news data provided by a local radio station in Sarawak, Malaysia.

Additional Information

Citation Information

Details on the corpora and the experiments on iban ASR can be found in the following list of publication. The original authors appreciate if you cite them if you intend to publish.

@inproceedings{Juan14,
    Author = {Sarah Samson Juan and Laurent Besacier and Solange Rossato},
    Booktitle = {Proceedings of Workshop for Spoken Language Technology for Under-resourced (SLTU)},
    Month = {May},
    Title = {Semi-supervised G2P bootstrapping and its application to ASR for a very under-resourced language: Iban},
    Year = {2014}}

@inproceedings{Juan2015,
       Title = {Using Resources from a closely-Related language to develop ASR for a very under-resourced Language: A case study for Iban},
      Author = {Sarah Samson Juan and Laurent Besacier and Benjamin Lecouteux and Mohamed Dyab},
      Booktitle = {Proceedings of INTERSPEECH},
      Year = {2015},
      Address = {Dresden, Germany},
      Month = {September}}

Contributions

Thanks to meisin for adding this dataset.