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제목(Main) DEepfake CROss-lingual evaluation dataset (DECRO)
제목(Sub)
저자 Weichen Lian;Yuexin Wu;Zhehan Gu;Lingxiao Yu;
제공처 OpenAIRE 
리포지터리 OpenAIRE 
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    2023 해외 공개 CC-BY-4.0 English

DEepfake CROss-lingual evaluation dataset (DECRO)

DEepfake CROss-lingual evaluation dataset (DECRO) Weichen Lian;Yuexin Wu;Zhehan Gu;Lingxiao Yu;
Deepfake cross-lingual evaluation dataset (DECRO) is constructed to evaluate the influence of language differences on deepfake detection.;{references: DataTang. 2020. aidatatang_200zh, a free Chinese Mandarin speech corpus by Beijing DataTang Technology Co., Ltd ( www.datatang.com ). Online; accessed 08-Oct-2022., Hui Bu, Jiayu Du, Xingyu Na, Bengu Wu, and Hao Zheng. 2017. Aishell-1: An open-source mandarin speech corpus and a speech recognition baseline. In 2017 20th conference of the oriental chapter of the international coordinating committee on speech databases and speech I/O systems and assessment (O-COCOSDA). IEEE, 1\u20135., Xin Xu Shaoji Zhang Ming Li Yao Shi, Hui Bu. 2015. AISHELL-3: A Multi-speaker Mandarin TTS Corpus and the Baselines. https://arxiv.org/abs/2010.11567, Ltd Surfing Technology Beijing Co. 2018. ST-CMDS-20170001_1, Free ST Chinese Mandarin Corpus. http://www.openslr.org/38/. (2018). Online; accessed 08-Oct- 2022., Ltd Magic Data Technology Co. 2019. MAGICDATA Mandarin Chinese Read Speech Corpus. http://www.openslr.org/68/. (2019). Online; accessed 08-Oct- 2022, Joel Frank and Lea Sch\u00f6nherr. 2021. WaveFake: A Data Set to Facilitate Audio Deepfake Detection. In Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 2). https://openreview.net/forum? id=74TZg9gsO8W, Haoxin Ma, Jiangyan Yi, Chenglong Wang, Xinrui Yan, Jianhua Tao, Tao Wang, Shiming Wang, Le Xu, and Ruibo Fu. 2022. FAD: A Chinese Dataset for Fake Audio Detection. arXiv preprint arXiv:2207.12308 (2022)., KinglittleQ. 2018. GST-Tacotron. https://github.com/KinglittleQ/GST-Tacotron. (2018). Online; accessed 09-Oct-2022., Chung-Ming Chien, Jheng-Hao Lin, Chien-yu Huang, Po-chun Hsu, and Hung-yi Lee. 2021. Investigating on Incorporating Pretrained and Learnable Speaker Representations for Multi-Speaker Multi-Style Text-to-Speech. In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 8588\u20138592. https://doi.org/10.1109/ICASSP39728.2021.9413880, UEhQZXI. 2021. vits_chinese. https://github.com/UEhQZXI/2021. (2021). Online; accessed 09-Oct-2022., Yinghao Aaron Li, Ali Zare, and Nima Mesgarani. 2021. Starganv2-vc: A diverse, unsupervised, non-parallel framework for natural-sounding voice conversion. arXiv preprint arXiv:2107.10394 (2021)., Bac Nguyen and Fabien Cardinaux. 2021. NVC-Net: End-to-End Adversarial Voice Conversion. arXiv preprint arXiv:2106.00992 (2021)., Zhenyu Zhang, Yewei Gu, Xiaowei Yi, and Xianfeng Zhao. 2021. FMFCCA: A Challenging Mandarin Dataset for Synthetic Speech Detection. CoRR abs/2110.09441 (2021). arXiv:2110.09441 https://arxiv.org/abs/2110.09441, Massimiliano Todisco, Xin Wang, Ville Vestman, Md Sahidullah, Hector Delgado, Andreas Nautsch, Junichi Yamagishi, Nicholas Evans, Tomi Kinnunen, and Kong Aik Lee. 2019. ASVspoof 2019: Future Horizons in Spoofed and Fake Audio Detection. arXiv preprint arXiv:1904.05441 (2019).}
{references: DataTang. 2020. aidatatang_200zh, a free Chinese Mandarin speech corpus by Beijing DataTang Technology Co., Ltd ( www.datatang.com ). Online; accessed 08-Oct-2022., Hui Bu, Jiayu Du, Xingyu Na, Bengu Wu, and Hao Zheng. 2017. Aishell-1: An open-source mandarin speech corpus and a speech recognition baseline. In 2017 20th conference of the oriental chapter of the international coordinating committee on speech databases and speech I/O systems and assessment (O-COCOSDA). IEEE, 1\u20135., Xin Xu Shaoji Zhang Ming Li Yao Shi, Hui Bu. 2015. AISHELL-3: A Multi-speaker Mandarin TTS Corpus and the Baselines. https://arxiv.org/abs/2010.11567, Ltd Surfing Technology Beijing Co. 2018. ST-CMDS-20170001_1, Free ST Chinese Mandarin Corpus. http://www.openslr.org/38/. (2018). Online; accessed 08-Oct- 2022., Ltd Magic Data Technology Co. 2019. MAGICDATA Mandarin Chinese Read Speech Corpus. http://www.openslr.org/68/. (2019). Online; accessed 08-Oct- 2022, Joel Frank and Lea Sch\u00f6nherr. 2021. WaveFake: A Data Set to Facilitate Audio Deepfake Detection. In Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 2). https://openreview.net/forum? id=74TZg9gsO8W, Haoxin Ma, Jiangyan Yi, Chenglong Wang, Xinrui Yan, Jianhua Tao, Tao Wang, Shiming Wang, Le Xu, and Ruibo Fu. 2022. FAD: A Chinese Dataset for Fake Audio Detection. arXiv preprint arXiv:2207.12308 (2022)., KinglittleQ. 2018. GST-Tacotron. https://github.com/KinglittleQ/GST-Tacotron. (2018). Online; accessed 09-Oct-2022., Chung-Ming Chien, Jheng-Hao Lin, Chien-yu Huang, Po-chun Hsu, and Hung-yi Lee. 2021. Investigating on Incorporating Pretrained and Learnable Speaker Representations for Multi-Speaker Multi-Style Text-to-Speech. In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 8588\u20138592. https://doi.org/10.1109/ICASSP39728.2021.9413880, UEhQZXI. 2021. vits_chinese. https://github.com/UEhQZXI/2021. (2021). Online; accessed 09-Oct-2022., Yinghao Aaron Li, Ali Zare, and Nima Mesgarani. 2021. Starganv2-vc: A diverse, unsupervised, non-parallel framework for natural-sounding voice conversion. arXiv preprint arXiv:2107.10394 (2021)., Bac Nguyen and Fabien Cardinaux. 2021. NVC-Net: End-to-End Adversarial Voice Conversion. arXiv preprint arXiv:2106.00992 (2021)., Zhenyu Zhang, Yewei Gu, Xiaowei Yi, and Xianfeng Zhao. 2021. FMFCCA: A Challenging Mandarin Dataset for Synthetic Speech Detection. CoRR abs/2110.09441 (2021). arXiv:2110.09441 https://arxiv.org/abs/2110.09441, Massimiliano Todisco, Xin Wang, Ville Vestman, Md Sahidullah, Hector Delgado, Andreas Nautsch, Junichi Yamagishi, Nicholas Evans, Tomi Kinnunen, and Kong Aik Lee. 2019. ASVspoof 2019: Future Horizons in Spoofed and Fake Audio Detection. arXiv preprint arXiv:1904.05441 (2019).}

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제공처
리포지터리
OpenAIRE
DOI
10.5281/zenodo.7603208
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