PDF(Pubmed)
Abstract：
Background: Previous studies have assessed the capability of PRAAT for acoustic voice analysis in total laryngectomized (TL) patients, although this software was designed for acoustic analysis of laryngeal voice. Recently, we have witnessed the development of specialized acoustic analysis software, Tracheoesophageal Voice Analysis (TEVA). This study aims to compare the analysis with both programs in TL patients. Methods: Observational analytical study of 34 TL patients where a quantitative acoustic analysis was performed for stable phonation with vowels [a] and [i] as well as spectrographic characterization using the TEVA and PRAAT software. Results: The Voice Handicap Index (VHI-10) showed a mean score of 11.29 ± 11.16 points, categorized as a moderate handicap. TEVA analysis found lower values in the fundamental frequency vs. PRAAT (p < 0.05). A significant increase in shimmer values was observed with TEVA (>20%). No significant differences were found between spectrographic analysis with TEVA and PRAAT. Conclusions: Tracheoesophageal speech is an alaryngeal voice, characterized by a higher degree of irregularity and noise compared to laryngeal speech. Consequently, it necessitates a more tailored approach using objective assessment tools adapted to these distinct features, like TEVA, that are designed specifically for TL patients. This study provides statistical evidence supporting its reliability and suitability for the evaluation and tracking of tracheoesophageal speakers.
摘要：
背景：先前的研究已经评估了PRAAT在全喉切除（TL）患者中进行声音分析的能力，虽然这个软件是为喉音的声学分析而设计的。最近,我们见证了专业声学分析软件的发展，气管食管语音分析（TEVA）。本研究旨在将分析与TL患者的两种程序进行比较。方法：对34名TL患者进行了观察性分析研究，其中使用TEVA和PRAAT软件对元音[a]和[i]的稳定发声进行了定量声学分析，并进行了光谱学表征。结果:语音障碍指数(VHI-10)平均得分为11.29±11.16分,归类为中度障碍。TEVA分析发现基频与基频的值较低PRAAT(p<0.05)。用TEVA观察到闪烁值的显著增加(>20%)。TEVA和PRAAT的光谱分析之间没有发现显着差异。结论：气管食管语音是一种咽喉语音，与喉部语音相比，具有更高的不规则性和噪音。因此,它需要一种更有针对性的方法，使用适应这些不同特征的客观评估工具，像TEVA,专为TL患者设计。这项研究为评估和跟踪气管食管扬声器提供了支持其可靠性和适用性的统计证据。
