{"id":59461,"date":"2017-05-06T14:09:09","date_gmt":"2017-05-06T18:09:09","guid":{"rendered":"http:\/\/danielschristian.com\/learning-ecosystems\/?p=59461"},"modified":"2017-05-06T14:26:27","modified_gmt":"2017-05-06T18:26:27","slug":"dc-this-type-of-technology-could-be-good-or-it-could-be-bad-or-like-many-technologies-it-could-be-both-depends-upon-how-its-used","status":"publish","type":"post","link":"http:\/\/danielschristian.com\/learning-ecosystems\/2017\/05\/06\/dc-this-type-of-technology-could-be-good-or-it-could-be-bad-or-like-many-technologies-it-could-be-both-depends-upon-how-its-used\/","title":{"rendered":"DC: This type of technology could be good, or it could be bad…or, like many technologies, it could be both — depends upon how it’s used."},"content":{"rendered":"
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From DSC:<\/em>
\nThis type of technology could be good, or it could be bad…or, like many technologies, it could be both — depends upon how it’s used.<\/strong> The resources below mention some positive applications, but also some troubling applications.<\/span><\/p>\n

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Lyrebird claims it can recreate any voice using just one minute of sample audio<\/strong><\/a> — from theverge.com by James Vincent
\nThe results aren\u2019t 100 percent convincing, but it\u2019s a sign of things to come<\/em><\/p>\n

Excerpt:<\/em><\/p>\n

Artificial intelligence is making human speech as malleable and replicable as pixels. Today, a Canadian AI startup named Lyrebird<\/a> unveiled its first product: a set of algorithms the company claims can clone anyone\u2019s voice by listening to just a single minute of sample audio.<\/p>\n

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Also see:<\/em><\/p>\n

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Imitating people\u2019s speech patterns precisely could bring trouble<\/strong><\/a> — from economist.com by
\nYou took the words right out of my mouth<\/em><\/p>\n

Excerpt:<\/em><\/p>\n

UTTER 160 or so French or English phrases into a phone app developed by CandyVoice, a new Parisian company, and the app\u2019s software will reassemble tiny slices of those sounds to enunciate, in a plausible simulacrum of your own dulcet tones, whatever typed words it is subsequently fed. In effect, the app has cloned your voice. The result still sounds a little synthetic but CandyVoice\u2019s boss, Jean-Luc Cr\u00e9bouw, reckons advances in the firm\u2019s algorithms will render it increasingly natural. Similar software for English and four widely spoken Indian languages, developed under the name of Festvox, by Carnegie Mellon University\u2019s Language Technologies Institute, is also available. And Baidu, a Chinese internet giant, says it has software that needs only 50 sentences to simulate a person\u2019s voice.<\/p>\n

Until recently, voice cloning\u2014or voice banking, as it was then known\u2014was a bespoke industry which served those at risk of losing the power of speech to cancer or surgery.
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\nMore troubling, any voice\u2014including that of a stranger\u2014can be cloned if decent recordings are available on YouTube or elsewhere. Researchers at the University of Alabama, Birmingham, led by Nitesh Saxena, were able to use Festvox to clone voices based on only five minutes of speech retrieved online. When tested against voice-biometrics software like that used by many banks to block unauthorised access to accounts, more than 80% of the fake voices tricked the computer.<\/p>\n

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Per Candyvoice.com<\/a>:<\/strong><\/p>\n

Expert in digital voice processing, CandyVoice offers software to facilitate and improve vocal communication between people and communicating objects. With applications in:<\/p>\n

Health<\/strong>
\nCustomize your devices of augmentative and alternative vocal communication by integrating in them your users’ personal vocal model<\/p>\n

Robots & Communicating objects<\/strong>
\nImprove communication with robots through voice conversion, customized TTS, and noise filtering<\/p>\n

Video games<\/strong>
\nEnhance the gaming experience by integrating vocal conversion of character\u2019s voice in real time, and the TTS customizing<\/p>\n

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Also related:<\/em><\/p>\n

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From DSC:<\/span><\/em>
\nGiven this type of technology, what’s to keep someone from cloning a voice, putting together whatever you wanted that person to say, and then making it appear<\/em> that Alexa recorded that other person’s<\/em> voice?<\/span><\/p>\n

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From DSC: This type of technology could be good, or it could be bad…or, like many technologies, it could be both — depends upon how it’s used. The resources below mention some positive applications, but also some troubling applications.   Lyrebird claims it can recreate any voice using just one minute of sample audio — […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"footnotes":""},"categories":[113,556,356,190,8,210,37,391,419,285,480,454,195,206,312,367,822],"tags":[],"class_list":["post-59461","post","type-post","status-publish","format-standard","hentry","category-21st-century","category-amazon","category-artificial-intelligence-agents-llms-and-related","category-assistive-technologies","category-digital-audio","category-emerging-technologies","category-future","category-human-computer-interaction-hci","category-ideas-teaching","category-legislation-legislatures","category-society","category-the-downsides-of-technology","category-tools","category-trends","category-user-experience-ux","category-vendors","category-voice-recognition-voice-enabled-interfaces"],"_links":{"self":[{"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts\/59461","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/comments?post=59461"}],"version-history":[{"count":11,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts\/59461\/revisions"}],"predecessor-version":[{"id":59475,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts\/59461\/revisions\/59475"}],"wp:attachment":[{"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/media?parent=59461"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/categories?post=59461"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/tags?post=59461"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}