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@@ -33,10 +33,10 @@ depression detection {{< nosup >}}[[i](https://news.mit.edu/2018/neural-network-
Model can more naturally detect depression in conversations")]{{< /nosup >}} -
laughter detection {{< nosup >}}[[i](http://www.hannahishere.com/project/the-laughing-room-with-jonny-sun/ "The Laughing Room")]{{< /nosup >}} -
emotion detection - {{< nosup >}}[[i](https://www.theverge.com/platform/amp/2020/8/27/21402493/amazon-halo-band-health-fitness-body-scan-tone-emotion-activity-sleep?__twitter_impression=true&s=09 "Amazon announces Halo, a fitness band and app that scans your body and voice")]{{< /nosup >}}
distress detection - {{< nosup >}}[[i](sipl.eelabs.technion.ac.il/wp-content/uploads/sites/6/2016/12/Paper-DetectionofDistressInSpeech-f.pdf " Detection of Distress in Speech)]{{< /nosup >}}
distress detection - {{< nosup >}}[[i](https://sipl.eelabs.technion.ac.il/wp-content/uploads/sites/6/2016/12/Paper-DetectionofDistressInSpeech-f.pdf " Detection of Distress in Speech)]{{< /nosup >}}
intoxication detection {{< nosup >}}[[i](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3872081/ "Intoxicated Speech Detection: A Fusion Framework with Speaker-Normalized Hierarchical Functionals and GMM Supervectors")]{{< /nosup >}} -
scream detection -
lie detection -
scream detection[^Lei_Mak] -
lie detection {{< nosup >}}[[i](https://www.nemesysco.com/lva-technology/ "https://www.nemesysco.com/lva-technology/")]{{< /nosup >}} -
hoax detection {{< nosup >}}[[i](https://amp.abc.net.au/article/12568084 "University of Southern Queensland gets $300k for hoax emergency call detection technology")]{{< /nosup >}} -
gunshot detection - {{< nosup >}}[[i](https://www.shotspotter.com/ "Enhance Public Safety and SiteSecurity with ShotSpotter")]{{< /nosup >}}
parkinson's diagnosis {{< nosup >}}[[i](http://www.canaryspeech.com/ "Using voice to identify human conditions sooner.")]{{< /nosup >}} -
@@ -44,8 +44,8 @@ covid diagnosis {{< nosup >}}[[i](https://app.surveylex.com/surveys/5384d6d0-649
machine fault diagnosis - psychosis diagnosis {{< nosup >}}[[i](https://www.sciencedaily.com/releases/2019/06/190613104552.htm "The whisper of schizophrenia: Machine learning finds 'sound' words predict psychosis")]{{< /nosup >}} -
bird sound identification {{< nosup >}}[[i](https://voicebot.ai/2020/06/26/voice-match-is-for-the-birds-new-google-competition-seeks-avian-audio-ai/ "Voice Match is for the Birds")]{{< /nosup >}} -
gender identification and ethnicity detection {{< nosup >}}[[i](https://theintercept.com/2018/11/15/amazon-echo-voice-recognition-accents-alexa/ "Amazon’s Accent Recognition Technology Could Tell the Government Where You’re From")]{{< /nosup >}} -
age determination -
voice likeability determination -
age determination {{< nosup >}}[[i](https://www.phonexia.com/en/product/age-estimation "Phonexia Age Estimation speech technology automatically estimates the age of a speaker")]{{< /nosup >}} -
voice likability determination {{< nosup >}}[[i](hhttps://dl.acm.org/doi/10.1145/3123266.3123338 "A Paralinguistic Approach To Speaker Diarisation: Using Age, Gender, Voice Likability and Personality Traits")]{{< /nosup >}} -
risk assessment {{< nosup >}}[[i](https://www.clearspeed.com/ "Clearspeed: Using the Power of Voice for Good")]...{{< /nosup >}}

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, social and political contexts into which these applications are quickly embedding themselves:
@@ -125,6 +125,7 @@ Another response would be to say that when or if machines listen, they listen ![
[^Rowe, Maier]: LIBRARY Rowe; Stefan Maier: [*Machine Listening*](https://technosphere-magazine.hkw.de/p/Machine-Listening-kmgQVZVaQeugBaizQjmZnY), Technosphere Magazine (2018)
[^intelligent_audio_analysis]: ![](bib:827d1f44-5a35-4278-a527-4df67e5ba321)
[^Virtanen]: LIBRARY Virtanen et al, *Computational Analysis of Sound Scenes and Events* (Springer, 2017)
[^Lei_Mak]: LIBRARY Lei and Mak, "Robust scream sound detection via sound event partitioning"
[^Abu Hamdan]: Interview with Lawrence Abu Hamdan
[^airplanes]: ![](bib:6676af8a-7a4d-4aa8-af96-f26452f58753)
[^kathy_audio_1]: Interview with [Kathy Reid](https://blog.kathyreid.id.au) on August 11, 2020


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