One Scream is All it Takes: Voice Activated Personal Safety, Audio Surveillance, and Gender Violence
Just a few days ago, London Metro Police Officer Wayne Couzens pled guilty to the rape and murder of Sarah Everard by, a 33-year-old woman he abducted while she walked home from a friend’s house. Since the news broke of her disappearance in March 2021, the UK has been going through a moment of national “soul-searching.” The national reckoning has included a range of discussions–about casual and spectacular misogynistic violence, about a victim-blaming criminal justice system that fails to address said violence–and responses, including a vigil in south London that was met with aggressive policing, that has itself entered into and furthered the UK’s soul-searching. There has also been a surge in the installation of personal safety apps on mobile phones; One Scream (OS), “voice activated personal safety,” is one of them.
Available for Android and iOS devices, OS claims to detect and be triggered by a woman’s (true) “panic scream,” and, after 20 seconds and unless the alarm is cancelled, it will send both a text message to the user’s chosen contacts and an automated call with the location to a nominated contact. The app is meant to help women in situations where dialing 999, (assumed to be the natural and preferred response to danger), is not viable for the user and, in the ideal embodiment, this nominated contact, “the helper,” is the police. OS did automatically contact police (and required a paid subscription) in 2016, but it did not work out well and by 2018, was declared a work in progress: “What we really want is for the app to dial 999 when it detects a panic scream, but first, we need to prove how accurate it is. That’s where you come in. . .” OS is currently in beta and free (while in beta). It is unclear whether the developers have given up with that utmost expression of OS.
OS is based on the premise that men fight and women scream —“It is an innate response for females in danger to scream for help”—and its correct functioning requires its users to be ready to do so, even if such an innate and instinctive response doesn’t come naturally to them: “If you do not scream, the app will not be able to detect you.” However, there are two discriminations in terms of scream analysis, in how the app discriminates while listening for and to screams, and in failing to detect or respond to them. The first has to do with who can use the app (i.e., whose panicked screams are able to trigger it) in the first place. This is presented in terms of gender and age—for the moment, OS can listen to “girls aged 14+ and women under 60,” where cisgender, as in anything OS, is taken for granted. It is, however, a matter of acoustic parameters set by the developers (notably, of reaching a certain high pitch and loudness threshold). Which is why the app was implemented to include a “screamometer” for potential users to scream, hard, figure out, and see whether they can reach “the intensity that is needed to set it off” (confetti means they do). The second one discriminates true panicked screams from other types of screams (e.g., happiness, untrue panic). As presented by the developers, both discriminations are problematic and misleading, and so is “the science behind screaming” One Scream‘s website boasts of.
The app does not quite distinguish true from fake screams, nor joy from panic for that matter. Instead, One Scream listens for “roughness,” which a team of scream researchers—it truly is a “tiny science lesson” —has identified as scream’s “privileged acoustic niche” for communicating alarm. According to this 2015 study in Current Biology, “roughness” is the distinctive quality of effective, compelling human screams (and of artificial alarms) in terms of their ability to trigger listeners and in terms of perceived urgency. Abrupt increases in loudness and pitch are not unique to screams. The rougher the scream, then, the greater its perceived “alarmess” and its alarming effect. That’s why developers say OS “hears real distress,” essentially “just as your own ear.” However, other studies suggest your own ears might not be so great at distinguishing happiness from fear and scream research, and particularly the specific “bit” OS builds on, by and large assumes, relies on, and furthers the irrelevance of “real” on the scream vocalizer end.
In OS’s pledge to its users, the app’s fine-tuning to its scream niche—i.e., to rough temporal modulations between 30 and 150Hz—is as important, as is the developers (flawed) insistence on the irredeemably uniqueness of true panic’s scream vocalizations, which they posit are instinctive and can’t be plotted or counterfeit: “Experience has shown that it is difficult for women to fake their scream.” Yet, current scream analysis and research primarily and largely relies on screams delivered by human research subjects (often university students, ideally drama students) in response to prompts for the purposes of studying them as well as, especially, on screams extracted from commercial movies and sound effect libraries. The same applies to the other types of vocalizations (e.g., neutral and valenced speech, screamed sentences, laughter, etc.) produced or retrieved for the purposes of figuring out what it is that makes a scream a scream, and how to translate that into a set of quantifiable parameters to capitalize on that knowledge, regardless of the agenda.
Because of their interest for audio surveillance applications, screams are currently a contested object and a hot commodity. Much as is the case with other scream distinction/detection enterprises, the initial training of OS most likely involved that vast and available bank of crafted scream renditions—by professional actors, machines, combinations of those, by and for an industry otherwise partial to female non-speech sounds—conveniently the exact type of “thick with body” female voicings OS is also invested in. For some readers, myself included, this might come across as creepy and, science-wise, flimsy.
Scream research often relies on how human listeners recruited for the cause respond to audio samples. Apparently, whether the scream is “real,” acted, or post-produced is neither something study subjects necessarily distinguish nor a determining factor in how they rate and react. In terms of machines learning to scream-mine audio data, it is what it is: “natural corpora with extreme emotional manifestation and atypical sounds events for surveillance applications” are scarce, unreliable, and largely unavailable because of their private character. That is no longer the case for OS, which has been accruing, and machine-learning from, its beta-user screams as well as how users themselves monitor/rate their screams and the app’s sensibility. OS users’ screams might not be exactly ad lib, as users/vocalizers first practice with the “screamometer” to learn to scream for and as a means to interface with OS, but it’s as natural a corpora as it gets, and it’s free for the users of the screams. OS not only echoes “voice stress analysis” technologies invested in distinguishing true from fake or in ranking urgency, but, as part and parcel of a larger scream surveillance enterprise, also public surveillance technologies such as ShotSpotter, all of which Lawrence Abu Hamdan has brilliantly dissected in his essay on the recording of the police gunshots that killed Michael Brown in Ferguson, Missouri in 2014.
Chilla is a strikingly similar app developed and available in India—although there’s a nuanced difference in the developer’s rationale for Chilla, which in its pursuance of scream-activated personal safety also aims to compensate for the fact that many girls and women don’t call “parents or police” for help when harassed or in danger. As presented, Chilla responds both to assaults and to women’s ambivalence towards their guardians. The latter is, too, a manifestation of the breadth of gender-based violence as a socio-cultural problem, one that Chilla is trained to fail to listen to and one that, because of OS’s particular niche user market, is simply out of the purview of its UK counterpart.
That problem–and that failure–is neither exclusive to India nor to scream-activated personal safety apps. Calling 999 in the UK, 911 in the US, or 091 in Spain, where I am writing, doesn’t come naturally to many targets of sexual and gender-based violence because they don’t conceive police as a help or because, directly, they see it as a risk—to themselves and/or to others. As Angela Ritchie has copiously documented in Invisible No More: Police Violence Against Black Women and Women of Color, women of color and Black women in particular are at extremely high risk for rape and sexual abuse by police officers, as high as 1 in 5 women in New York City alone.
OS, then, is framed as a pragmatic, partial answer to a problem it doesn’t solve: “We should never have to dress in a certain way…but we do.” The specifics of how OS would actually “save” or even has saved its users in particular scenarios go unexplained, because OS is meant to help with feeling safe; getting into the details, and the what ifs, compromises that service. This sense of safety has two components and is based on two promises: one, that OS will listen to your (panic) scream, and, two, as of now via the intermediacy of your contacts, the police will go save you. The second component and its assumed self-evidence speaks to the app’s whiteness and of its target market of white, securitized, cisgender female subjects.
Over and above its acoustic profiling, the app is simply not designed with every woman in mind. OS’s branding is about a certain lifestyle—of going for early runs and dates with cis-men, of taking time for yourself because you’re super busy at your white-collar job and going for night runs, of taking inspiration from “world” women and skipping if running isn’t for you. This lifestyle is also sold: sold as always under the threat of rape–despite its “rightfulness”–sold in a way that animates the feelings of insecurity and disempowerment that One Scream advertizes itself as capable of reversing. Safety, then, is sold as retrievable with OS.
Wearable or otherwise portable technologies to keep women “safe,” specifically from sexual assaults, are not new and are varied. These have been vigorously protested, particularly from feminist standpoints other than the white, securitized, capitalist brand OS professes—because, in (partly) delegating safety on technologies women then become personally responsible for, these technologies further “blame” women. For authorities and the patriarchy, this shift in blame is a relief. In discussing the racialized securitization of US university campuses, Kwame Holmes notes how despite “reactionary attacks” on campus feminism (e.g., so-called “snowflakes” complaining about bad sex) and authorities’ effective reluctance to acknowledge and challenge rape culture, anti-sexual assault technologies tend to be welcomed and accepted. As Holmes also notes, there’s no paradox in that. Those technologies flatten the discussion, deactivate more radical feminist critiques and potential strategies, and protect the status quo—not so much women and not those who, whenever an alarm sounds and especially when security forces respond, readily become insecure.
It is not a stretch to think that OS could potentially amplify the insecurities of Black and brown people subject to white panic (screams) and to its violence, something other audio surveillance technologies are already contributing to, at least it’s not a greater stretch than to entertain situations in which police would show up and save an OS user before it’s too late. Even if it’s never triggered, as developers seem to assume will be the case for the majority of installed units—”Many people have never faced a situation where they have had to panic scream”—it’s trapped in a securitization logic that ultimately relies on masculine authority, one that calls for the expansion of CCTV cameras, wherein women are never quite secure (see Sarah Everard’s vigil).
One Scream’s FAQs cover selected worries that users have or OS anticipates they might have. Among these, there are privacy concerns (i.e., does it listen to your conversations?) and the fear the alarm will activate “when it shouldn’t.” In the Apple Store user reviews, there’s a more popular type of concern: OS not responding to users’ screams. In other words, there’s simultaneously a worry about OS listening and detecting too much and about OS failing to listen “when it matters.” These anxieties around OS’s listening excesses and insufficiencies touch on (audio) surveillance paradoxical workings: does OS encroach on the everyday life of those within users’ cell phones’ earshot while not necessarily delivering on an otherwise modest promise of safety in highly specific scenarios? There’s a unified developer response to these concerns: OS “is trained to detect panic screams only.”
—
Featured Image: By Flicker User Dirk Haun. Image appears to be a woman screaming on a street corner, but is actually an advertisement on the window of a T-Mobile cell phone shop (CC BY 2.0)
—
María Edurne Zuazu works in music, sound, and media studies, and researches the intersections of material culture and sonic practices in relation to questions of cultural memory, social and environmental justice, and the production of knowledge (and of ignorance) in the West during the 20th and 21st centuries. María has presented on topics ranging from sound and multimedia art and obsolete musical instruments, to aircraft sound and popular music, and published articles on telenovela, weaponized uses of sound, music and historical memory, and music videos. She received her PhD in Music from The CUNY Graduate Center, and has been the recipient of Fulbright and Fundación La Caixa fellowships. She is a 2021-2022 Fellow at Cornell’s Society for the Humanities.
—
REWIND! . . .If you liked this post, you may also dig:
Flâneuse>La caminanta–Amanda Gutierrez
Echo and the Chorus of Female Machines—AO Roberts
Vocal Gender and the Gendered Soundscape: At the Intersection of Gender Studies and Sound Studies–Christine Ehrick
Share this:
Listening in Plain Sight: The Enduring Influence of U.S. Air Guitar
The mention of “air guitar” might conjure images of the Bill and Ted series. Or Risky Business. Or maybe even Joe Cocker at Woodstock. You might think of air guitar as an embarrassing fan gesture. So when you hear there’s an annual U.S. Air Guitar competition, you might imagine an entirely superficial practice without any artistic merit. Maybe you just think of it as gimmicky. Or a celebration of the worst aspects of classic rock fandom and the white male guitar heroes that often populate its pantheon. In all honesty, I thought all of these things at first, until I began to take the competition seriously.
I did not realize, for example, that air guitar competitions have an enduring history since the late 1970s, existing as an incredibly influential popular music pantomime practice that informs platforms like TikTok. I did not realize how invested contemporary competitors could be—dedicating years to learning the craft. And I did not realize how these reconstructions of guitar solos could creatively rupture the relationship between guitar virtuosity and privileged identities in popular music’s past.
The U.S. Air Guitar Championships began in 2003 as the national branch of the Air Guitar World Championships, which began in 1996 in Oulu, Finland. The competition emerged as a bit of a joke alongside the Oulu Music Video Festival. Eventually, two people—Cedric Devitt and Kriston Rucker—founded U.S. Air Guitar, which expanded across the country (thanks, in part, to the influential documentary Air Guitar Nation). Today, folks compete in order to advance from local to regional to the national competition, ultimately hoping to be crowned the best air guitarist in the nation and sent to Finland to represent the United States (think: Eurovision but air guitar). United States air guitarists do incredibly well in the international competition, although they face formidable air guitarists from Japan, France, Canada, Australia, Russia, and Germany (as well as less-formidable air guitarists from elsewhere).
In each competition, competitors perform as personas, such as Rockness Monster, AIRistotle, Agnes Young, and Mom Jeans Jeanie. They don elaborate costumes. They painstakingly practice elaborate choreographies and compete in some of the most famous musical venues in the country—from Bowery Ballroom to the Black Cat. Competitors stage routines that bring a particular 60-second rock solo to life, using their bodies to simulate playing the real guitar (what air guitarists call “there guitar”). Think of these as gestural interpretations of the affective power of guitar solos, rather than a mechanical reproduction of particular chords, frets, and licks. They use their bodies to draw out timbre, rhythm, and pitch, and they also play with the juxtaposition of their own identities and those of the original artists. Judges evaluate performances based on three criteria:
· Technical merit (does the pantomime more or less correspond to the guitar playing in the music?)
· Stage presence (is it entertaining?)
· ‘Airness’ (does the performance transcend the imitation of the real guitar to become an art form in and of itself?)
Scores are given on a figure skating scale, from 4 to 6. So a perfect score is 666 from the three judges. Winners in the first round advance to the second round, where they must improvise an air guitar routine to a surprise song selection.
As part of my ethnographic work on air guitar, I competed in a local competition, where I was crowned third best air guitarist in Boston in the year 2017 (a distinction that will likely never appear on my CV). I have also conducted fieldwork in Finland twice and attended countless competitions in the U.S. I judged the 2019 U.S. Air Guitar Championships in Nashville alongside Edward Snowden’s lawyer, which resulted in a three-way air off to crown a winner.
Competitions depend on recruiting new competitors, celebrity judges, and large crowds, all of which can be at odds with creating an inclusive community. Organizers have worked hard to eliminate racist, sexist, ableist, and other forms of discriminatory language from judges’ comments. Women within U.S. air guitar have formed advocacy groups. The proceeds of the most recent competitions have been donated to Alabama Appleseed Center for Law and Justice, which took up the case of a disabled Black veteran named Sean Worsley who was incarcerated for playing air guitar to music at a gas station. Both organizing bodies at the national and international level emphasize world peace as central to their mission.
Air guitar routines are themselves political statements too. These acts of musical interpretation enable women, BIPOC, and disabled performers to author sounds credited to guitar idols, like Eddie Van Halen or Slash. Performers make arguments about their access to popular music, using only their bodies. Sydney Hutchinson’s work examines how air guitar can challenge Asian American stereotypes and gendered conceptions of dance.
My current work revolves around disabled air guitarists. Andres SevogiAIR drew me in, as a result of his expressive flamenco-inspired seated style he called “chair guitar.” He passed away but left me with an enduring appreciation for air guitar’s ability to challenge conventional virtuosity, a term that can often reproduce an ableist link between physical ability and musical virtue. I came to appreciate how air guitarists could invent imaginary instruments that serve their particular bodies. I witnessed competitors coupling chronic illness and impairments with air guitar routines, as well as competitors using air guitar to fully amplify their struggles with cancer.
I also came to appreciate how air guitarists embrace stigma (e.g., madness, craziness, and gendered forms of listening), turning taboo into a source of creativity. This led to academic writing that traces the history of madness in relation to air guitar, showing how imaginary instrument playing has often been pathologized, and yet contemporary disabled air guitarists reclaim these accusations of insanity as a source of power.
* * *
A few weeks ago, I received a request from Lieutenant Facemelter to judge the Midwestern Online Regional U.S. Air Guitar Competition. I accepted. As with many things these days, the contemporary competition has morphed into a Twitch-hosted online spectacle, featuring combinations of live and pre-recorded elements. One woman gave birth between first- and second-round performances (made possible by a multi-day filming period for an asynchronous part of the online competition). One man’s air guitar performance evoked an exorcism in his basement. Another middle-aged competitor competed while suffering the side effects of his second shot of coronavirus vaccine, ultimately winning the competition with a pro-vaccination message. His parents appeared in the livestream when he accepted the award, and the host of the show–the Master of Airimonies–jokingly said to them: “You two must be so proud.”
I think of U.S. Air Guitar as a stained-glass window, through which prisms of popular music history shine through. The competition can bring troubling facets of that history to light, but the competition can also revise that history (or, at least, reimagine how that history can influence the future). Either way, performers celebrate the idea that rock solos live most powerfully in the embodied listening practices of everyday people. Listening becomes the subject of these performances–the source material for these persuasive displays of music reception. Indeed, air guitar can be one of the strangest things you’ll never see.
The competition continues this summer.
—
Featured Image: US Air Guitar National Finals, The Midland Theater, Kansas City, MO, August 9, 2014, by Flickr user Amber, (CC BY-NC-ND 2.0)
—
Byrd McDaniel | Byrd is a scholar who researches disability, digital cultures, and popular music. He currently works as a Postdoctoral Fellow in the Fox Center for Humanistic Inquiry at Emory University. His forthcoming book–Spectacular Listening— traces the rise of contemporary practices that treat listening as a performance, including air guitar, podcasts, reaction videos, and lip syncing apps. Byrd is enthusiastic about work that addresses any facet of air guitar, including global and historical approaches. He welcomes outreach from those who want to research these topics.
—
REWIND! . . .If you liked this post, you may also dig:
SO! Reads: Steph Ceraso’s Sounding Composition: Multimodal Pedagogies for Embodied Listening–Airek Beauchamp
Digital Analogies: Techniques of Sonic Play–Roger Moseley
Experiments in Aural Resistance: Nordic Role-Playing, Community, and Sound—Aaron Trammell
Share this:
Current Top Posts
April 2021
January 2020
November 2019
October 2019
August 2019
April 2014
November 2017
March 2015
December 2017
October 2015
Sounding Out! 
Recent Comments