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 f o 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 (f o) from prolonged vowel sounds (f o/a/) and f o from spontaneous speech (f o‐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. f o‐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 f o‐sp >160 Hz (P < .01). Sixteen of 42 patients reached an f o‐sp >160 Hz. Of these, the AI program only perceived nine patients as female (>50 %Prob♀).
Conclusion
Patients with f o‐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, 2021
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