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Synthetic human-like fakes: Difference between revisions
→Handwriting syntheses: + calligrapher.ai also based on Graves' 2013 paper with some additions + slight reorg
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# Offensively, to thieve somebody else's handwriting style | # Offensively, to thieve somebody else's handwriting style | ||
Here we find a similar risk to that which realized when the [[w:speaker recognition]] systems turning out to be instrumental in the development of [[#Digital sound-alikes|digital sound-alikes]]. After the knowledge needed to recognize a speaker was [[w:Transfer learning|w:transferred]] into a generative task in 2018 by Google researchers, we no longer cannot effectively determine for English speakers which recording is human in origin and which is from a machine origin. | Here we find a similar '''risk''' to that which realized when the '''[[w:speaker recognition]] systems''' turning out to be instrumental in the development of '''[[#Digital sound-alikes|digital sound-alikes]]'''. After the knowledge needed to recognize a speaker was [[w:Transfer learning|w:transferred]] into a generative task in 2018 by Google researchers, we no longer cannot effectively determine for English speakers which recording is human in origin and which is from a machine origin. | ||
'''Handwriting-like syntheses''': | |||
* [https://github.com/topics/handwriting-generation GitHub topic '''handwriting-generation'''] has 21 public repositories as of September 2021. | * [https://github.com/topics/handwriting-generation GitHub topic '''handwriting-generation'''] has 21 public repositories as of September 2021. | ||
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* [https://arxiv.org/abs/1308.0850 '''''Generating Sequences With Recurrent Neural Networks''''' at arxiv.org] by Alex Graves published on '''2013'''-08-04 in Neural and Evolutionary Computing.[https://www.cs.toronto.edu/~graves/handwriting.html '''''Recurrent neural network handwriting generation demo''''' at cs.toronto.edu] is a demonstration site for publication | |||
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* [https://www.calligrapher.ai/ '''Calligrapher.ai''' - ''Realistic computer-generated handwriting''] - The user may control parameters: speed, legibility, stroke width and style. The domain is registered by some organization in Iceland and the website offers no about-page. | * [https://www.calligrapher.ai/ '''Calligrapher.ai''' - ''Realistic computer-generated handwriting''] - The user may control parameters: speed, legibility, stroke width and style. The domain is registered by some organization in Iceland and the website offers no about-page<ref group="note">https://seanvasquez.com/handwriting-generation redirects to Calligrapher.ai - seen in https://www.reddit.com/r/MachineLearning/comments/gh9cbg/p_generate_handwriting_with_an_inbrowser/</ref>. According to [https://www.reddit.com/r/MachineLearning/comments/gh9cbg/p_generate_handwriting_with_an_inbrowser/ this reddit post] Calligrapher.ai is based on Graves' 2013 work, but "''adds an [[w:inference]] model to allow for sampling latent style vectors (similar to the VAE model used by SketchRNN)''".<ref>https://www.reddit.com/r/MachineLearning/comments/gh9cbg/p_generate_handwriting_with_an_inbrowser/</ref> | ||
* [https://greydanus.github.io/2016/08/21/handwriting/ '''Scribe''' - ''Generating Realistic Handwriting with TensorFlow'' at greydanus.github.io] blog post published on '''2016'''-08-21. [https://github.com/greydanus/scribe '''Scribe code''' at github.com] | * [https://greydanus.github.io/2016/08/21/handwriting/ '''Scribe''' - ''Generating Realistic Handwriting with TensorFlow'' at greydanus.github.io] blog post published on '''2016'''-08-21. [https://github.com/greydanus/scribe '''Scribe code''' at github.com] | ||