File:SLIMME COMPUTERS- Kan een robot de emoties in jouw stem herkennen-.webm

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Original file (WebM audio/video file, VP9/Opus, length 14 min 17 s, 1,920 × 1,080 pixels, 1.66 Mbps overall, file size: 169.06 MB)

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Nederlands: Als er straks meer robots komen en we gaan met ze praten, is het wel zo handig dat ze een beetje snappen hoe wij mensen communiceren. Want een robot die niks van jouw emoties snapt, daar ga je je vast alleen maar aan ergeren. Maar hoe leer je een robot dat? Khiet Truong (Universiteit Twente) weet precies wat robots wel en niet kunnen!

Deze week in Universiteit van Nederland:



dr. Khiet Truong Universiteit Twente

Meer weten? Check onze website! ► http://www.universiteitvannederland.nl/ Twitter ► https://twitter.com/UniversiteitNL Facebook ► https://www.facebook.com/UniversiteitVanNederland

Onze colleges worden opgenomen door Doogle ► http://www.doogle.amsterdam
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Source YouTube: SLIMME COMPUTERS: Kan een robot de emoties in jouw stem herkennen? – View/save archived versions on archive.org and archive.today
Author Universiteit van Nederland

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This file is licensed under the Creative Commons Attribution 3.0 Unported license.
Attribution: Universiteit van Nederland
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This file, which was originally posted to YouTube: SLIMME COMPUTERS: Kan een robot de emoties in jouw stem herkennen? – View/save archived versions on archive.org and archive.today, was reviewed on 3 April 2017 by reviewer Daphne Lantier, who confirmed that it was available there under the stated license on that date.

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Date/TimeThumbnailDimensionsUserComment
current18:54, 1 April 201714 min 17 s, 1,920 × 1,080 (169.06 MB)Hannolans (talk | contribs)Imported media from https://www.youtube.com/watch?v=HcjfNvG7wn8

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Format Bitrate Download Status Encode time
VP9 1080P 1.45 Mbps Completed 10:41, 18 October 2018 37 min 5 s
VP9 720P 747 kbps Completed 10:29, 18 October 2018 25 min 43 s
VP9 480P 456 kbps Completed 10:24, 18 October 2018 20 min 23 s
VP9 360P 307 kbps Completed 10:16, 18 October 2018 12 min 22 s
VP9 240P 220 kbps Completed 10:13, 18 October 2018 10 min 2 s
WebM 360P 568 kbps Completed 19:14, 1 April 2017 19 min 52 s
QuickTime 144p (MJPEG) 966 kbps Completed 15:30, 3 December 2024 1 min 31 s

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