Yolande and Jenny audio

content/topic/(against)-the-coming-world-of-listening-machines.md

@@ -105,7 +105,7 @@ Scientifically, machine listening demands enormous volumes of data: exhorted, ex
 
 Because machine listening is trained on (more-than) human auditory worlds, it inevitably encodes, invisibilises and reinscribes normative listenings, along with a range of more arbitrary artifacts of the datasets, statistical models and computational systems which are at once its lifeblood and fundamentally opaque.[^McQuillan] This combination means that machine listening is simultaneously an alibi or front for the proliferation and normalisation of specific auditory practices *as* machinic, and, conversely, often irreducible to human apprehension; which is to say the worst of both worlds.
 
-Moreover, because machine listening is so deeply bound up with logics of automation and pre-emption, it is also recursive. It feeds its listenings back into the world - (<span class="soundcite" data-id="893380750" data-start="946000" data-end="1390000" data-plays="1">gendered and gendering</span>),(15.46 - 23.10)[^YS] colonial and colonizing, ![raced and racializing](audio:static/audio/halcyon-siri-imperialism.mp3),[^halcyon_audio_1] classed and productive of class relations - as Siri's answer or failure to answer; by alerting the police, denying your [claim for asylum](https://www.theverge.com/2017/3/17/14956532/germany-refugee-voice-analysis-dialect-speech-software), or continuing to play Autechre - and this incites an auditory response to which it listens in turn. The soundscape is increasingly cybernetic. Confronting machine listening means recognising that common-sense distinctions between human and machine simply fail to hold. We are all machine listeners now. We have been becoming machine listeners for a long time. Indeed, the becoming machinic of listening is a foundational concern for any contemporary politics of listening; not because mechanisation *itself* is a problem, but because it is the condition in which we increasingly find ourselves.[^Abu Hamdan]
+Moreover, because machine listening is so deeply bound up with logics of automation and pre-emption, it is also recursive. It feeds its listenings back into the world - ![gendered and gendering](audio:https://machinelistening.exposed/library/Yolande%20Strengers,%20Jenny%20Kennedy,%20Ja/Yolande%20Strengers%20and%20Jenny%20Kennedy%20(10)/Yolande%20Strengers%20and%20Jenny%20Ken%20-%20Yolande%20Strengers,%20Jenny%20Kenned.mp3|946000|1390000),[^YS] colonial and colonizing, ![raced and racializing](audio:static/audio/halcyon-siri-imperialism.mp3),[^halcyon_audio_1] classed and productive of class relations - as Siri's answer or failure to answer; by alerting the police, denying your [claim for asylum](https://www.theverge.com/2017/3/17/14956532/germany-refugee-voice-analysis-dialect-speech-software), or continuing to play Autechre - and this incites an auditory response to which it listens in turn. The soundscape is increasingly cybernetic. Confronting machine listening means recognising that common-sense distinctions between human and machine simply fail to hold. We are all machine listeners now. We have been becoming machine listeners for a long time. Indeed, the becoming machinic of listening is a foundational concern for any contemporary politics of listening; not because mechanisation *itself* is a problem, but because it is the condition in which we increasingly find ourselves.[^Abu Hamdan]
 
 But machine listening isn't exactly listening either.
 
@@ -135,4 +135,5 @@ Another response would be to say that when or if machines listen, they listen ![
 [^halcyon_audio_1]: Interview with [Halcyon Lawrence](http://www.halcyonlawrence.com/) on August 31, 2020.
 [^Virilio]: LIBRARY Paul Virilio, *Sightless Vision*
 [^Faroki, Paglen]: LIBRARY; Mark Andrejevic, [Operational Listening (Eavesdropping)](https://youtu.be/OxOKlgsc3_M), recorded on August 10, 2018 
-[^Billy Li]: LIBRARY: Li et al, Adversarial Music: Real world Audio Adversary against Wake-word Detection System (2019). For a good introduction to adversarialism, see LIBRARY Goodfellow
+[^Billy Li]: LIBRARY: Li et al, Adversarial Music: Real world Audio Adversary against Wake-word Detection System (2019). For a good introduction to adversarialism, see LIBRARY Goodfellow
+[^YS]: ![](bib:26f7b730-9064-464b-b905-fbe63c5d4e4b)

themes/sandpoints/layouts/_default/_markup/render-image.html

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+    {{- else if hasPrefix $a_destination "http" -}}
+      <span class="soundcite" data-url="{{- $a_destination  | safeURL -}}"
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+    {{- if (gt (len $a_parts) 2) -}}
+      data-start="{{ index ($a_parts) 1 }}" data-end="{{ index ($a_parts) 2 }}"
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