SynSpeech Dataset (Large Version I)

The SynSpeech Dataset (Large Version I) is an English-language synthetic speech dataset designed for benchmarking disentangled speech representation learning methods. Created using OpenVoice and LibriSpeech-100, it includes 249 unique speakers, each with 500 distinct sentences spoken in four styles: “default,” “friendly,” “sad,” and “whispering,” recorded at a 16kHz sampling rate.Due to file size limitations, the dataset has been split into two nearly equal halves. This first half contains data for 136 of the 249 speakers, along with metadata detailing speaker information, gender, speaking style, text, and file paths. The <code>synspeech_Large_Metadata.csv</code> file provides metadata for both halves, and both parts of the archive must be extracted and placed within the same parent directory for full functionality.Data is organized by speaker ID, making this dataset ideal for applications in representation learning, speaker and content factorization, and TTS synthesis.

SynSpeech 数据集（Large Version I）是一款面向解耦语音表示学习方法评测的英语合成语音数据集。该数据集基于OpenVoice与LibriSpeech-100构建，涵盖249位独立说话人，每位说话人包含500条不同语句，涵盖“默认”“亲和”“悲伤”“耳语”四种发音风格，采样率为16kHz。受限于文件大小，该数据集被拆分为两个近似等大的部分。本第一部分包含249位说话人中的136位的数据，并附带详细元数据，涵盖说话人信息、性别、发音风格、文本内容与文件路径。其中`synspeech_Large_Metadata.csv`文件提供了两部分数据的元数据，需将压缩包的两个部分均解压至同一父目录下，方可实现完整功能。数据按说话人ID进行组织，非常适合用于表示学习、说话人与内容因子分解以及文本转语音（Text-to-Speech, TTS）合成等相关应用场景。