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Dataset Card for "hausa_long_voice_dataset"
Dataset Overview
Dataset Name: Hausa Long Voice Dataset
Description: This dataset contains merged Hausa language audio samples from Common Voice. Audio files from the same speaker have been concatenated to create longer audio samples with their corresponding transcriptions, designed for text-to-speech (TTS) training where longer sequences are beneficial.
Dataset Structure
Configs:
default
Data Files:
- Split:
train
Dataset Info:
- Features:
audio
: Merged audio file (mono, 22.05kHz)transcription
: Concatenated text transcription in Hausaspeaker_id
: ID of the speakernum_segments
: Number of original segments merged
Usage
To load this dataset in your Python environment using Hugging Face's datasets
library, use the following code:
from datasets import load_dataset
dataset = load_dataset("mide7x/hausa_long_voice_dataset")
Dataset Creation
This dataset was derived from Mozilla Common Voice Hausa collections. The audio files from the same speaker were merged with a small silence between segments. The corresponding transcriptions were concatenated to match the merged audio.
Considerations for Using the Data
Social Impact of Dataset
This dataset helps promote technological inclusion for the Hausa language, which is spoken by over 80 million people primarily in Northern Nigeria, Niger, and other parts of West Africa. The longer audio samples are particularly useful for training more natural-sounding TTS systems.
Discussion of Biases
The dataset may reflect biases present in the Common Voice collection process, including speaker demographics and sentence selection biases. Additionally, the merging process introduces artificial transitions between naturally spoken segments.
Citation Information
If you use this dataset in your research, please cite:
@misc{hausa_long_voice_dataset,
author = {Dataset Creator},
title = {Hausa Long Voice Dataset},
year = {2024},
publisher = {Hugging Face},
howpublished = {\url{https://huggingface.co/datasets/mide7x/hausa_long_voice_dataset}}
}
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