galsenai/wolof-audio-data

Wolof Audio Dataset是一个包含沃洛夫语（Wolof）音频录音及其对应转录的数据集。该数据集旨在支持沃洛夫语的自动语音识别（ASR）模型的开发。数据集由四个现有数据集组合而成：ALFFA、FLEURS、Urban Bus Wolof Speech Dataset和Kallama Dataset。数据集包含音频文件和转录文本，音频文件的采样率为16 kHz。数据集分为训练集和测试集，分别包含28,807和6,268个样本。

The Wolof Audio Dataset is a collection of audio recordings and their corresponding transcriptions in Wolof. This dataset is designed to support the development of Automatic Speech Recognition (ASR) models for the Wolof language. It was created by combining three existing datasets: ALFFA, FLEURS, Urban Bus Wolof Speech Dataset, and Kallama Dataset. The dataset includes audio files with varying formats and a sampling rate of 16 kHz, along with their transcriptions and the source of each example. The dataset is divided into training and test splits, with a total of 24,346 examples.