|
|
|
@@ -12,7 +12,7 @@ Automatic speech recognition, transcription and translation - targeted key word |
|
|
|
|
|
|
|
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: |
|
|
|
|
|
|
|
Digital voice assistants - voice user interfaces - state and corporate surveillance - profiling - border security - home security - pre-emptive policing - weapons systems - court systems - 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) "amazon fresh first grocery story"] - ambient elderly monitoring - baby monitoring - house arrest monitoring - [^andre_audio_1] - remote education - school security - remote diagnostics - biomonitoring and personalised health - social distancing - music streaming - music education - composition - gaming - brand development - marketing - acoustic ecology - employee performance metrics - wearables - hearables - recruitment - banking - insurance ... |
|
|
|
Digital voice assistants - voice user interfaces - state and corporate surveillance - profiling - border security - home security - pre-emptive policing - weapons systems - court systems - 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 "amazon fresh first grocery story")] - ambient elderly monitoring - baby monitoring - house arrest monitoring - [^andre_audio_1] - remote education - school security - remote diagnostics - biomonitoring and personalised health - social distancing - music streaming - music education - composition - gaming - brand development - marketing - acoustic ecology - employee performance metrics - wearables - hearables - recruitment - banking - insurance ... |
|
|
|
|
|
|
|
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. |
|
|
|
|
|
|
|
|
