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20232025
most citedEmilia: A Large-Scale, Extensive, Multilingual, and Diverse Dataset for Speech Generation

8 citations · 12 across the 8 of their papers we have counts for

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5 papers · 1 filter

eess.AS2024★ 2 cited

Emilia: An Extensive, Multilingual, and Diverse Speech Dataset for Large-Scale Speech Generation

Haorui He, Zengqiang Shang, Chaoren Wang +11

Recent advancements in speech generation models have been significantly driven by the use of large-scale training data. However, producing highly spontaneous, human-like speech rem…

eess.AS2023

Enhancing Spoofing Speech Detection Using Rhythm Information

Jingze Lu, Yuxiang Zhang, Wenchao Wang +2

Current spoofing speech detection systems need more convincing evidence. In this paper, the flaws of rhythm information inherent in the TTS-generated speech are analyzed to increas…

eess.AS2023

Synthetic Speech Detection Based on Temporal Consistency and Distribution of Speaker Features

Yuxiang Zhang, Zhuo Li, Jingze Lu +2

Current synthetic speech detection (SSD) methods perform well on certain datasets but still face issues of robustness and interpretability. A possible reason is that these methods…

eess.AS2023★ 2 cited

One-Class Knowledge Distillation for Spoofing Speech Detection

Jingze Lu, Yuxiang Zhang, Wenchao Wang +2

The detection of spoofing speech generated by unseen algorithms remains an unresolved challenge. One reason for the lack of generalization ability is traditional detecting systems…

eess.AS2023

Improving Short Utterance Anti-Spoofing with AASIST2

Yuxiang Zhang, Jingze Lu, Zengqiang Shang +2

The wav2vec 2.0 and integrated spectro-temporal graph attention network (AASIST) based countermeasure achieves great performance in speech anti-spoofing. However, current spoof spe…