
This is the source code of "SafeSpeech: Robust and Universal Voice Protection Against Malicious Speech Synthesis". In this repository, we provide three files as we claimed in "Open Science": source code.zip: The source code of SafeSpeech; datasets.zip: The LibriTTS and CMU ARCTIC datasets utilized in our paper; download_models.py: The code for downloading pre-trained checkpoints of the surrogate model and evaluation metrics.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
