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Synthetic human-like fakes: Difference between revisions
→2010's: + File:GoogleLogoSept12015.png + caption "w:Google Research demonstrated their sound-like-anyone-machine at the 2018 w:Conference on Neural Information Processing Systems (NeurIPS). It requires only 5 seconds of sample to steal a voice."
Juho Kunsola (talk | contribs) m (unlinking) |
Juho Kunsola (talk | contribs) (→2010's: + File:GoogleLogoSept12015.png + caption "w:Google Research demonstrated their sound-like-anyone-machine at the 2018 w:Conference on Neural Information Processing Systems (NeurIPS). It requires only 5 seconds of sample to steal a voice.") |
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| access-date = 2020-06-26 }} | | access-date = 2020-06-26 }} | ||
</ref> <font color="green">'''Relevancy: certain'''</font> | </ref> <font color="green">'''Relevancy: certain'''</font> | ||
[[File:GoogleLogoSept12015.png|thumb|right|300px|[[w:Google|Google]]'s logo. Google Research demonstrated their [https://google.github.io/tacotron/publications/speaker_adaptation/ sound-like-anyone-machine] at the 2018 [[w:Conference on Neural Information Processing Systems]] (NeurIPS). It requires only 5 seconds of sample to steal a voice.]] | |||
* '''<font color="red">2018</font>''' | <font color="red">science</font> and <font color="red">demonstration</font> | The work [http://papers.nips.cc/paper/7700-transfer-learning-from-speaker-verification-to-multispeaker-text-to-speech-synthesis 'Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis'] ([https://arxiv.org/abs/1806.04558 at arXiv.org]) was presented at the 2018 [[w:Conference on Neural Information Processing Systems]] (NeurIPS). The pre-trained model is able to steal voices from a sample of only '''5 seconds''' with almost convincing results. | * '''<font color="red">2018</font>''' | <font color="red">science</font> and <font color="red">demonstration</font> | The work [http://papers.nips.cc/paper/7700-transfer-learning-from-speaker-verification-to-multispeaker-text-to-speech-synthesis 'Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis'] ([https://arxiv.org/abs/1806.04558 at arXiv.org]) was presented at the 2018 [[w:Conference on Neural Information Processing Systems]] (NeurIPS). The pre-trained model is able to steal voices from a sample of only '''5 seconds''' with almost convincing results. | ||