File:Vocabulary-Learning-in-a-Yorkshire-Terrier-Slow-Mapping-of-Spoken-Words-pone.0030182.s002.ogv

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Vocabulary-Learning-in-a-Yorkshire-Terrier-Slow-Mapping-of-Spoken-Words-pone.0030182.s002.ogv(Ogg multiplexed audio/video file, Theora/Vorbis, length 1 min 3 s, 320 × 240 pixels, 890 kbps overall, file size: 6.72 MB)

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Description
English: An illustration of the stranger test, Experiment 2 (the second author issues the voice commands here). Target “known” toys in this illustration are Flipper and Be Mine, and both responses are correct. For both stranger voices, the dog responded correctly at much better than chance levels (p<0.0001). For the trials in this illustration, the camera was controlled by the first author, who tried to keep the focus on the dog in order to illustrate the setting fully.
Date
Source Video S2 from Griebel U, Oller D (2012). "Vocabulary Learning in a Yorkshire Terrier: Slow Mapping of Spoken Words". PLOS ONE. DOI:10.1371/journal.pone.0030182. PMID 22363421. PMC: 3281824.
Author Griebel U, Oller D
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This file was published in a Public Library of Science journal. Their website states that the content of all PLOS journals is published under the Creative Commons Attribution 4.0 license (or its previous version depending on the publication date), unless indicated otherwise.
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This file was transferred to Wikimedia Commons from PubMed Central by way of the Open Access Media Importer.
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Date/TimeThumbnailDimensionsUserComment
current18:03, 30 May 20131 min 3 s, 320 × 240 (6.72 MB)Open Access Media Importer Bot (talk | contribs)Automatically uploaded media file from Open Access source. Please report problems or suggestions here.

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Format Bitrate Download Status Encode time
VP9 240P 371 kbps Completed 20:46, 25 October 2018 55 s
Streaming 240p (VP9) 282 kbps Completed 01:42, 22 December 2023 1.0 s
WebM 360P 719 kbps Completed 22:00, 2 December 2023 9.0 s
Streaming 144p (MJPEG) 1.02 Mbps Completed 04:12, 18 November 2023 4.0 s
Stereo (Opus) 88 kbps Completed 00:12, 12 November 2023 1.0 s
Stereo (MP3) 128 kbps Completed 01:50, 12 November 2023 2.0 s

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