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@@ -13,7 +13,6 @@ Automatic speech recognition, transcription and translation [Kathy Reid audio] - |
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These applications are all either currently in use by states, corporations and other entities around the world, or under development. The list is obviously not exhaustive. Nor does it convey the real diversity of markets, cyberphysical and political contexts into which these applications are quickly embedding themselves: |
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Digital voice assistants - voice user interfaces - state and corporate surveillance [[1](https://paranoid.com/products "Paranoid Home. Data is forever. Get Paranoid.")] - profiling - border security - home security - pre-emptive policing - weapons systems - court systems [[1](https://www.wired.com/story/star-witness-your-smart-speaker/ "Meet the Star Witness: Your Smart Speaker")] - hospital systems - call centre optimisation - disability services - grocery store wayfinding [[1](https://edition.cnn.com/2020/08/27/business/amazon-fresh-first-grocery-store/index.html "Alexa, what aisle is the milk in?")] - ambient elderly monitoring [[1](https://get.cherryhome.ai/care/ "Cherry Home")] - baby monitoring - house arrest monitoring - ![human rights monitoring](audio:static/audio/intro-to-pulse-and-radio-content-analysis.mp3)[^andre_audio_1] - remote education - school security - remote diagnostics - biomonitoring and personalised health[[1](https://twitter.com/voiceome "The Voiceome Project")] - social distancing - music streaming - music education - composition [[1](https://disclaimer.org.au/contents/holly-herndon-and-mat-dryhurst-in-conversation-with-sean-dockray "Inhuman Intelligence")] - gaming - brand development - marketing [[1](https://www.veritonic.com/ "Veritonic The Sonic Truth")] - acoustic ecology - employee performance metrics - wearables - hearables - recruitment - banking - insurance - gender vocal training [[1](https://github.com/project-spectra "Project Spectra")] |
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>>>>>>> 12cbe11605ebcf5dfb6192e22a14a813cbdb4d92 |
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As with all forms of machine learning, questions of efficacy, access, privacy, bias, fairness and transparency arise with every use case. But machine listening also demands to be treated as an epistemic and political system in its own right, that increasingly enables, shapes and constrains basic human possibilities, that is making our auditory worlds knowable in new ways, to new institutions, according to new logics, and is remaking (sonic) life in the process. |
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