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Law enforcement agencies in some countries are discussing how to regulate deepfakes and similar synthetic media technologies. At the end, the powerful voice-mimic tools are easily available to the public.
On the other side, Wavenet converts the acoustic features into high-quality audio files. The power of DNN-based VC techniques involves directly mapping linguistic features to acoustic feature representation. The two crucial milestones in deepfake speech synthesis are WaveNet (a vocoder developed by DeepMind in 2016) and Tacotron (a text-to-speech algorithm created by Google in 2017). The latest advancement in deep neural techniques - especially generative adversarial networks - fuels VC techniques' growth and paves a path to produce surreal fake voices of utmost high quality that are indistinguishable to human ears. The VCC evaluation report indicates the merits of voice conversion are improving drastically in different aspects like naturalness, speaker similarity, amount of target voice needed to create a deepfake and robustness in synthesizing in real time. Since 2016, a bi-annual scientific event, the Voice Conversion Challenge (VCC) has been held to understand and compare various voice conversion systems built all over the world by institutes, organizations and researchers. We now have online videos, social media, mobile voice mail services and many more sources that are enough to gather samples for criminals to exploit. The ease of access to voice recording has grown. Request a user take action using the fake voice. Choose the best opportunity to exploit.Ĥ.