构建首个多说话人阿拉伯语语音合成数据集，支持语音合成与反欺诈研究。
ArVoice: A Multi-Speaker Dataset for Arabic Speech Synthesis
- 整合真人录音、公开数据和商业合成语音，覆盖11位说话人。
- 总时长83.52小时，含7位真人说话人共约10小时语音。
- 适用于语音合成、语音克隆及深度伪造检测等任务。
我们提出ArVoice，一个包含带符号转录的多说话人现代标准阿拉伯语（MSA）语音语料库，旨在支持多说话人语音合成，并可应用于基于语音的符号恢复、语音转换和深度伪造检测等任务。ArVoice由三部分组成：(1) 六位具有不同人口统计特征的专业配音演员录制的新数据；(2) 经修改的阿拉伯语语音语料库子集；(3) 两个商用系统生成的高质量合成语音。整个语料库共包含83.52小时语音，涵盖11个说话人，其中约10小时为来自7位说话人的真人录音。我们训练了三个开源文本转语音（TTS）系统和两个语音转换系统，以展示该数据集的应用潜力。该语料库已向研究社区开放使用。
原文摘要 · Abstract (English)
We introduce ArVoice, a multi-speaker Modern Standard Arabic (MSA) speech corpus with diacritized transcriptions, intended for multi-speaker speech synthesis, and can be useful for other tasks such as speech-based diacritic restoration, voice conversion, and deepfake detection. ArVoice comprises: (1) a new professionally recorded set from six voice talents with diverse demographics, (2) a modified subset of the Arabic Speech Corpus; and (3) high-quality synthetic speech from two commercial systems. The complete corpus consists of a total of 83.52 hours of speech across 11 voices; around 10 hours consist of human voices from 7 speakers. We train three open-source TTS and two voice conversion systems to illustrate the use cases of the dataset. The corpus is available for research use.
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