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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Attribution: EuroPython Conference
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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
Streaming 720p (VP9) 365 kbps Completed 10:26, 6 February 2024 5.0 s
VP9 480P 280 kbps Completed 21:29, 17 January 2021 17 min 37 s
Streaming 480p (VP9) 182 kbps Completed 11:02, 13 January 2024 3.0 s
VP9 360P 200 kbps Completed 21:23, 17 January 2021 11 min 50 s
Streaming 360p (VP9) 102 kbps Completed 13:55, 18 January 2024 2.0 s
VP9 240P 158 kbps Completed 21:21, 17 January 2021 9 min 36 s
Streaming 240p (VP9) 59 kbps Completed 06:43, 5 December 2023 2.0 s
WebM 360P 482 kbps Completed 21:19, 17 January 2021 8 min 1 s
Streaming 144p (MJPEG) 828 kbps Completed 18:28, 1 November 2023 55 s
Stereo (Opus) 95 kbps Completed 01:09, 17 November 2023 22 s
Stereo (MP3) 128 kbps Completed 01:30, 31 October 2023 46 s

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