TruVox Web-Based Software for Vocal Pitch Training in Transgender Women: Development and Single-Session Evaluations
Notice bibliographique
Résumé
BACKGROUND: Transgender people often experience distress due to a mismatch between their gender and the way their voice is perceived (eg, transgender women with low pitch), which significantly reduces their mental health and quality of life. This is especially a problem for transfeminine people and can be reduced with gender-affirming voice training (GAVT), but such training is often inaccessible due to factors such as price and geographical constraints. OBJECTIVE: We aim to improve the limited availability of GAVT by developing and testing a free web-based software platform (named TruVox; University of Cincinnati) that would combine real-time feedback about the user's voice with structured vocal pitch exercises for transfeminine people. METHODS: The current publicly accessible TruVox prototype focuses on vocal pitch training with 5 structured exercises that provide real-time pitch visualizations as well as supporting videos and text. It was tested in 2 evaluation stages: initial remote usability evaluations and a later single-session in-person evaluation with 21 transfeminine participants under the supervision of 2 researchers. In remote evaluations, participants reported bugs and usability issues that were iteratively addressed. In the in-person evaluation, participants tested the final software prototype and filled out the System Usability Scale, then performed 10 repetitions of different exercises to gauge performance improvement with practice. They also filled out the Intrinsic Motivation Inventory for each exercise. RESULTS: The System Usability Scale score had a mean of 79.8 (SD 12.8) on a 100-point scale, Intrinsic Motivation Inventory scores were high (eg, interest/enjoyment over 11/14), and exercise performance significantly improved in all but 1 exercise (P values ranging from below .001 to .095). As qualitative feedback, participants requested to be able to use the software without much preparation and suggested several desirable future features, such as performance tracking and goal-setting. CONCLUSIONS: While the pitch training module should not be considered a complete GAVT package, TruVox represents a promising foundation for further GAVT software because it was perceived as usable and motivating and allowed participants to improve their exercise performance. To our knowledge, TruVox is the first GAVT software that combines real-time voice visualization with structured exercises, and this study represents the first quantitative human subjects evaluation of GAVT software. In the future, TruVox will be expanded with additional modules such as resonance training, then tested in longer-term trials.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,005 | 0,008 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».