The sound of the queer voice has captured the intrigue of the popular and sociolinguistic imagination, spurring a wave of research investigating what makes someone 鈥渟ound gay鈥�. While much research has sought to uncover the phonetic markers of the (cisgender, White, male) 鈥済ay sounding鈥� voice, only recently has a wave of research begun to investigate the myriad ways that queer speakers of other gender, sexual, and racial identities articulate their identities. This panel continues this trajectory, aiming to: (1) explore how understudied and marginalized queer identities鈥� including transgender, non-binary, and non-White identities鈥� are articulated using phonetic, variationist methods; (2) discuss the implications that the phonetic patterns of these speakers have on theories of sociolinguistic variation that are based on White, cisgender, heterosexual speakers and often taken for granted as if they apply universally; (3) to explore the consequences of the ways that dominant theories and methodologies in sociolinguistics don鈥檛 account for the full range of queer experiences.听
听
Presented by:听Linguistic Society of America Committee on LGBTQ+ Issues in Linguistics [COZIL];听Culture, Language, and Social Practice [CLASP] Program at the University of Colorado
听
When:听Saturday, October 24, 2020, 3:00-5:00pm Eastern (1-3 MDT)
FREE Registration:听听
AGENDA (click here for abstracts)
Introduction to Queer and Trans Sociophonetics
Jeremy Calder, 精品SM在线影片
Tran/s/gender: assessing the effects of the social construction of gender on speech. A focus on transgender /s/ realisations
James Parnell-Mooney, University of Glasgow
Variable vocal tract length as sociolinguistic feature
Lily Clifford, Stanford University
Pajara/s/ in wigs: bilingualism, latinidad, and gendered sociophonetics in Miami鈥檚 Queer Barrio
Christopher Mendoza, Florida International University
脡r-Change: shifting from 鈥渟mooth operator鈥� to 鈥渟exual modern鈥� in Beijing Queer Media听
Andrew Ting, 精品SM在线影片
Normativity in normalization: Methodological challenges in the (automated) analysis of vowels among non-binary speakers
deandre miles-hercules and Lal Zimman, University of California Santa Barbara
Audience Q&A