VoiceProfiler/QuEsT

QuEsT数据集是一个包含克丘亚语和西班牙语翻译对的语言对数据集，主要用于训练文本到语音模型和机器翻译模型。数据集由训练集和测试集两个子集组成，其中训练集包含克丘亚语和西班牙语的音频及其转录文本。数据集的音频来自6位说话者，包括2位男性和4位女性，总时长约为42分钟的克丘亚语和34分钟的西班牙语。数据集由Alex Steve Chung Alvarez策划，并由秘鲁国立工程大学的研究副校长资助。

The Quechua Spanish Translations dataset (QuEsT) is a language pair dataset of quechua sentences and its translations to spanish. The dataset consists of pairs of audios and their transcriptions in the languages of Quechua Cuzco (quz) and Spanish (spa), each pair being conformed by the translation of the sentences from one language to the other. The dataset is intended to train text-to-speech models and machine translation models with quechua and/or spanish languages.