The Effects of Speaker Head Posture on Auditory Perception of Vocal Masculinity.

OBJECTIVE: The purpose of this study was to investigate the impact of head position on listeners' perception of vocal masculinity. METHODS: Twelve cisgender women were recorded reciting two voiced sentences with varying head positions: baseline, flexed, and extended. Voice samples were cropped and fundamental frequency (fo) was resynthesized to control for any changes in fo across conditions. Twelve cisgender adults were recruited as listeners. Listeners were presented with 144 paired comparisons of speaker samples and were prompted to select the sample that sounded more masculine in each presented pairing. Ratings of masculinity were analyzed using Thurstone's law of comparative judgment. A repeated measures analysis of variance (ANOVA) assessed the effects of head positioning, followed by Dunnett's posthoc tests. RESULTS: The ANOVA showed a statistically significant effect of head position on listener perceptions of masculinity: speech in the flexed position was perceived as statistically more masculine than that in the baseline condition. CONCLUSIONS: The results of this study support the use of head posture manipulation to achieve increased vocal masculinity, which adds to the limited research related to voice masculinization strategies for those seeking gender-affirming voice care.

Gauging Stakeholder Perspectives on Artificial Intelligence in Gender-Affirming Voice Care.

BACKGROUND: As the main objective outcome measure used in gender-affirming voice care (GAVC), fundamental frequency (f0 ) often fails to accurately reflect patient perceptions of their voice. Our team developed an artificial intelligence (AI) program that provides an alternative objective outcome measure that has the potential to more accurately align with patient perceptions. OBJECTIVE: To gauge stakeholder receptivity to the use of AI in GAVC before employing a novel outcome measure in transgender and nonbinary communities. METHODS: This prospective qualitative study used online focus groups composed of speech-language pathologists (SLPs), transgender men (TGM), transgender women (TGW), and nonbinary (NB) individuals. Participant age, race, gender, and geographic location were recorded. Each cohort participated in a series of two focus group sessions. The first session focused on participant experiences in GAVC, whereas the second ascertained participant perspectives on the use of AI in GAVC. Transcripts of each discussion were coded using Nvivo to perform inductive thematic analysis. RESULTS: Seven SLPs, seven TGW, three TGM, and two NB individuals (mean [range] age, 35.5 [26-48] years) participated. Transgender and nonbinary participants were generally amenable to the technology, whereas SLPs were more hesitant about its use. Positive findings included appreciation for AI as an objective outcome measure and enthusiasm for its potential to longitudinally track progress. Hesitations concerned the actionability of using the AI and unease about the black box nature of the AI's analysis. CONCLUSION: Transgender and NB individuals were receptive to the use of AI technology in GAVC, whereas SLPs were more apprehensive about using AI. LEVEL OF EVIDENCE: NA Laryngoscope, 133:1698-1705, 2023.

Awareness Among Transgender and Nonbinary Adults of the Otolaryngologist's Role in Providing Gender-Affirming Care Services.

OBJECTIVE: To assess transgender and nonbinary adults' awareness of Otolaryngologists' (ENT) and speech-language pathologists' (SLP) ability to perform various face, neck, and voice procedures for gender-affirming purposes. STUDY DESIGN: Cross-sectional survey. SETTING: Online, from February to May 2022. METHODS: We developed a list of nonsurgical and surgical gender-affirming face, neck, and voice procedures. We asked transgender and nonbinary (TNB) adults which procedures from this list they knew could be performed by specially-trained ENTs or SLPs for gender-affirmation and which listed procedures they knew existed as gender-affirming treatment before the survey. We assessed awareness of ENTs' and SLPs' ability for each procedure across gender identity using Fisher exact tests. We examined if demographic or socioeconomic factors were associated with the total number of gender-affirming procedures participants knew ENTs or SLPs could perform using univariable linear regression. RESULTS: TNB adults (N = 234) generally knew these procedures existed as gender-affirming treatment (64%-93%). However, TNB adults were largely unaware these gender-affirming procedures could be performed by specially-trained ENTs or SLPs (53% or less), especially procedures unrelated to the voice, neck, and nose (26% or less). Knowledge of ENTs' and SLPs' ability was similar across gender identity for most procedures. Total number of procedures known that ENTs or SLPs could perform did not differ by demographic/socioeconomic factors (p > .05). CONCLUSION: These findings suggest transgender and nonbinary individuals may not know to seek Otolaryngologists or SLP when desiring gender-affirming face, neck, or voice care. Increased efforts are needed to promote awareness of Otolaryngology's role in providing gender-affirming care.

Gender-Affirming Voice Modification for Transgender Women: Characteristics and Outcomes.

Objective: The primary aim of this study was to define characteristics of transgender women seeking gender-affirming voice modification at our voice center. The secondary aim was to evaluate outcome measures, comparing (a) behavioral voice training alone, (b) surgery alone, and (c) combination of behavioral voice training+surgery. Methods: Patients seen in a 30-month period, who sought care for gender-affirming voice modification, were included if they were assigned male at birth and identified as female. Patient demographic information, patient quality of life index scores, Trans Woman Voice Questionnaire (TWVQ), and acoustic data were collected before and after intervention. Results: Sixteen patients met inclusion criteria. The majority of patients were (a) undergoing hormone replacement therapy at initiation of treatment, (b) were presenting in public for over 2 years as female, and (c) had a history of psychological disorders (i.e., gender dysphoria, anxiety, depression, and attention deficit hyperactivity disorder [ADHD]). Increased f0 and decreased TWVQ scores were evident and statistically significant within behavioral voice training cohort and behavioral voice training+surgery cohort. Treatment groups appear similar with respect to average changes; pre- and post-data were not available for surgery only patients. Greater change in f0 was directly correlated with increased number of voice training sessions. Conclusion: There is variability in treatment course for patients seeking gender-affirming voice modification; however, treatment type may not impact outcomes. Increased patient quality of life and increased speaking fundamental frequency were found in this patient cohort.

Validation of an AI-assisted Treatment Outcome Measure for Gender-Affirming Voice Care: Comparing AI Accuracy to Listener's Perception of Voice Femininity.

OBJECTIVES: There is currently a lack of objective treatment outcome measures for transgender individuals undergoing gender-affirming voice care. Recently, Bensoussan et al developed an AI model that is able to generate a voice femininity rating based on a short voice sample provided through a smartphone application. The purpose of this study was to examine the feasibility of using this model as a treatment outcome measure by comparing its performance to human listeners. Additionally, we examined the effect of two different training datasets on the model's accuracy and performance when presented with external data. METHODS: 100 voice recordings from 50 cisgender males and 50 cisgender females were retrospectively collected from patients presenting at a university voice clinic for reasons other than dysphonia. The recordings were evaluated by expert and naïve human listeners, who rated each voice based on how sure they were the voice belonged to a female speaker (% voice femininity [R]). Human ratings were compared to ratings generated by (1) the AI model trained on a high-quality low-quantity dataset (voices from the Perceptual Voice Quality Database) (PVQD model), and (2) the AI model trained on a low-quality high-quantity dataset (voices from the Mozilla Common Voice database) (Mozilla model). Ambiguity scores were calculated as the absolute value of the difference between the rating and certainty (0 or 100%). RESULTS: Both expert and naïve listeners achieved 100% accuracy in identifying voice gender based on a binary classification (female >50% voice femininity [R]). In comparison, the Mozilla-trained model achieved 92% accuracy and the previously published PVQD model achieved 84% accuracy in determining voice gender (female >50% AI voice femininity). While both AI models correlated with human ratings, the Mozilla-trained model showed a stronger correlation as well as lower overall rating ambiguity than the PVQD-trained model. The Mozilla model also appeared to handle pitch information in a similar way to human raters. CONCLUSIONS: The AI model predicted voice gender with high accuracy when compared to human listeners and has potential as a useful outcome measure for transgender individuals receiving gender-affirming voice training. The Mozilla-trained model performed better than the PVQD-trained model, indicating that for binary classification tasks, the quantity of data may influence accuracy more than the quality of the data used for training the voice AI models.

Needs Assessment of Gender-Affirming Face, Neck, and Voice Procedures and the Role of Gender Dysphoria.

OBJECTIVE: To assess the needs of transgender and nonbinary (TNB) adults for gender-affirming face, neck, and voice procedures. STUDY DESIGN: Cross-sectional survey. SETTING: Online, February to May 2022. METHODS: Primary outcomes included utilization of otolaryngologists and speech-language pathologists; gender dysphoria felt from the face, neck, and voice self-reported on a 0 to 10 numeric rating scale (0 = no dysphoria, 10 = unbearable); and desire for various gender-affirming face, neck, and voice procedures. We used ordinal logistic and linear regression to assess relationships between site-specific dysphoria and the desire for relevant procedures. RESULTS: TNB participants (N = 234) infrequently sought gender-affirming care with speech-language pathologists (23%), facial plastic surgeons (8%), or laryngologists (3%). Participants experienced the strongest dysphoria from the voice (median 7/10), jawline/chin (4/10), and neck (3.5/10). Transmasculine and nonbinary participants typically seeking masculinization (n = 83) frequently desired voice therapy (want = 35%, had = 8%). Transfeminine and nonbinary participants typically seeking feminization (n = 145) frequently desired voice therapy (want = 52%, had = 23%), chondrolaryngoplasty (want = 45%, had = 5%), and hair removal/electrolysis (want = 43%, had = 44%). Many desired at least 1 facial feminization surgery procedure (65%), especially mandible reduction (want = 42%, had = 3%), rhinoplasty (want = 41%, had = 1%), and forehead reduction (want = 37%, had = 4%). Dysphoria ratings were associated with desiring relevant procedures (p < .05 for all), notably voice therapy (odds ratio [OR] = 1.50), chondrolaryngoplasty (OR = 1.46), mandible reduction (OR = 1.38), rhinoplasty (OR = 1.59), and forehead reduction (OR = 1.82). CONCLUSION: Gender dysphoria from the face, neck, and voice can be severe for TNB people and is associated with the desire for gender-affirming procedures. The high demand yet low reported access to these procedures highlights the need for providers of gender-affirming face, neck, and voice care.

A Comparison of an Artificial Intelligence Tool to Fundamental Frequency as an Outcome Measure in People Seeking a More Feminine Voice.

OBJECTIVES/HYPOTHESIS: An artificial intelligence (AI) tool was developed using audio clips of cis-male and cis-female voices based on spectral analysis to assess %probability of a voice being perceived as female (%Prob♀). This program was validated with 92% accuracy in cisgender speakers. The aim of the study was to assess the relationship of fo on %Prob♀ by a validated AI tool in a cohort of trans females who underwent intervention to feminize their voice with behavioral modification and/or surgery. STUDY DESIGN: Cohort study. METHODS: Fundamental frequency (fo ) from prolonged vowel sounds (fo /a/) and fo from spontaneous speech (fo -sp) were measured using the Kay Pentax Computerized Speech Lab (Montvale, NJ) in trans females postintervention. The same voice samples were analyzed by the AI tool for %Prob♀. Chi-square analysis and regression models were performed accepting >50% Prob♀ as female voice. RESULTS: Forty-two patients were available for analysis after intervention. fo -sp post-treatment was positively correlated with %Prob♀ (R = 0.645 [P < .001]). Chi-square analysis showed a significant association between AI %Prob♀ >50% for the speech samples and fo -sp >160 Hz (P < .01). Sixteen of 42 patients reached an fo -sp >160 Hz. Of these, the AI program only perceived nine patients as female (>50 %Prob♀). CONCLUSION: Patients with fo -sp >160 Hz after feminization treatments are not necessarily perceived as having a high probability of being female by a validated AI tool. AI may represent a useful outcome measurement tool for patients undergoing gender affirming voice care. LEVEL OF EVIDENCE: 3 Laryngoscope, 131:2567-2571, 2021.