变性女性性别确认语音培训项目长期跟踪中的自我感知和听众感知。

IF 2.5 4区 医学 Q1 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY Journal of Voice Pub Date : 2024-11-15 DOI:10.1016/j.jvoice.2024.10.032
Clara Leyns, Liese Bostyn, Evelien D'haeseleer
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引用次数: 0

摘要

介绍:许多变性人发现自己的声音往往与其性别身份不符。嗓音和沟通专家通过性别确认嗓音训练,帮助变性女性找到符合其性别身份的嗓音。嗓音训练计划的短期成果显示,变性女性的嗓音在听众感知、自我感知和满意度方面都取得了进步。虽然也有一些长期结果的报道,但这些研究大多是回顾性的。这项前瞻性研究考察了变性女性在接受性别确认嗓音训练 3 个月和 1 年后,对满意度、自我感知和听众感知的长期影响:方法:30 名变性女性参加了为期 10 周的性别确认嗓音训练计划,包括音高提升和发音共振训练。变性女性的自我感知和满意度通过变性女性嗓音问卷和视觉模拟量表进行测量,变性女性必须对自己目前的嗓音和理想的嗓音打分。39 名听众使用视觉模拟量表对变性女性的声音样本进行评分,评分范围从非常男性化到非常女性化。培训结束后立即、培训结束后 3 个月和 1 年分别进行了测量:在嗓音的自我感觉和满意度方面,培训后立即观察到的效果在后续阶段保持稳定。因此,在培训 3 个月和 1 年后,学员认为嗓音对其日常生活的影响与培训结束后的影响相同。据报告,在培训刚结束后和培训 3 个月后,听众对女性化的评价显著下降,但仍处于性别模糊区。在 3 个月和 1 年的跟踪调查中,没有发现明显的变化。今后的研究应采用更长的跟踪期和定性研究方法。
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Self-Perception and Listener Perceptions at Long-Term Follow-Up of a Gender-Affirming Voice Training Program for Transgender Women.

Introduction: Many transgender individuals find their voice often not matching their gender identity. By using gender-affirming voice training, voice and communication specialists help transgender women find a voice that aligns with their gender identity. Short-term outcomes of voice training programs showed progress in listener perception, self-perception, and satisfaction of transgender women's voices. While some long-term results have been reported, most of these studies were retrospective. This prospective study examines the long-term effects, 3 months and 1 year after gender-affirming voice training in transgender women, on satisfaction, self-perception, and listeners' perception.

Methods and materials: Thirty transgender women followed a 10-week gender-affirming voice training program consisting of pitch elevation and articulation-resonance training. Self-perception and satisfaction of the transgender women were measured by the Trans Women Voice Questionnaire and a visual analogue scale where they had to score their current and ideal voice. Thirty nine listeners rated the trans women's voice samples by using a visual analogue scale ranging from very masculine to very feminine. Immediately after training, 3 months and 1 year after training, measurements were performed.

Results and discussion: Concerning self-perception and satisfaction of the voice, the effects observed immediately after training remained stable in the follow-up period. Thus, 3 months and 1 year after training, the participants perceived the voice-related impact on their daily life equal to the impact just after training discharge. Significant decreases in femininity ratings of listeners' perceptions were reported immediately after training and 3 months after training, although still being in the gender-ambiguous zone. No significant changes were reported between the 3 months and 1 year follow-up. Future studies should implement longer follow-up periods and qualitative components.

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来源期刊
Journal of Voice
Journal of Voice 医学-耳鼻喉科学
CiteScore
4.00
自引率
13.60%
发文量
395
审稿时长
59 days
期刊介绍: The Journal of Voice is widely regarded as the world''s premiere journal for voice medicine and research. This peer-reviewed publication is listed in Index Medicus and is indexed by the Institute for Scientific Information. The journal contains articles written by experts throughout the world on all topics in voice sciences, voice medicine and surgery, and speech-language pathologists'' management of voice-related problems. The journal includes clinical articles, clinical research, and laboratory research. Members of the Foundation receive the journal as a benefit of membership.
期刊最新文献
Optimal Brain Targets for Enhancing Vocal Performance With Transcranial Direct Current Stimulation. A Multidiscipline Practitioner Pilot Study Into the Potential Professionalization of Singing Voice Rehabilitation Specialists in the United Kingdom. Characterizing Vocal Hyperfunction Using Ecological Momentary Assessment of Relative Fundamental Frequency. Evaluation of Depression and Perceived Voice Handicap Through Self-Report in Individuals With Alzheimer's Disease. Vocal Biomarkers for Parkinson's Disease Classification Using Audio Spectrogram Transformers.
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