File:Cameron Macleod - Implementing a Sound Identifier in Python.webm

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Original file (WebM audio/video file, VP9/Opus, length 21 min 55 s, 1,280 × 720 pixels, 761 kbps overall, file size: 119.3 MB)

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The talk will go over implementing a Shazam-style sound recogniser using DSP techniques and some fantastic libraries. It will cover implementation, challenges and further steps. The project is still a work in progress and the code is [available on GitHub][1]. It was inspired by the [Over-the-Air Audio Identification talk][2] at FOSDEM

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Source YouTube: Cameron Macleod - Implementing a Sound Identifier in Python – View/save archived versions on archive.org and archive.today
Author EuroPython Conference

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YouTube logo This file, which was originally posted to YouTube: Cameron Macleod - Implementing a Sound Identifier in Python(archive), was reviewed on 17 January 2021 by the automatic software YouTubeReviewBot, which confirmed that this video was available there under the stated Creative Commons license on that date. This file should not be deleted if the license has changed in the meantime. The Creative Commons license is irrevocable.

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Date/TimeThumbnailDimensionsUserComment
current21:11, 17 January 202121 min 55 s, 1,280 × 720 (119.3 MB)Acagastya (talk | contribs)Imported media from uploads:2a9e85c6-58e1-11eb-bd2e-96bb8e7425f0

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Format Bitrate Download Status Encode time
VP9 720P 463 kbps Completed 21:34, 17 January 2021 22 min 23 s
VP9 480P 280 kbps Completed 21:29, 17 January 2021 17 min 37 s
VP9 360P 200 kbps Completed 21:23, 17 January 2021 11 min 50 s
VP9 240P 158 kbps Completed 21:21, 17 January 2021 9 min 36 s
WebM 360P 482 kbps Completed 21:19, 17 January 2021 8 min 1 s
QuickTime 144p (MJPEG) 959 kbps Completed 19:54, 18 October 2024 1 min 34 s

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