Klein-Rodríguez Alejandro, Cabo-Varela Irma, Vázquez-de la Iglesia Francisco, Chiesa-Estomba Carlos M, Mayo-Yáñez Miguel
Otorhinolaryngology-Head and Neck Surgery Department, Complexo Hospitalario Universitario (A Coruña (CHUAC), 15006 A Coruña, Spain.
Otorhinolaryngology-Head and Neck Surgery Research Group, Institute of Biomedical Research of A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Universidade da Coruña (UDC), 15006 A Coruña, Spain.
J Clin Med. 2024 Jun 27;13(13):3748. doi: 10.3390/jcm13133748.
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. 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. 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 ( < 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. 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.
以往的研究评估了PRAAT软件在全喉切除(TL)患者中进行嗓音声学分析的能力,尽管该软件是为喉部嗓音的声学分析而设计的。最近,我们见证了专门的声学分析软件——气管食管嗓音分析(TEVA)的开发。本研究旨在比较这两种软件在TL患者中的分析结果。对34例TL患者进行观察性分析研究,使用TEVA和PRAAT软件对元音[a]和[i]的稳定发声进行定量声学分析以及频谱特征分析。嗓音障碍指数(VHI-10)的平均得分为11.29±11.16分,属于中度障碍。TEVA分析发现基频值低于PRAAT(<0.05)。观察到TEVA的颤动值显著增加(>20%)。TEVA和PRAAT的频谱分析之间未发现显著差异。气管食管语音是一种无喉嗓音,与喉部语音相比,其特点是不规则性和噪音程度更高。因此,需要采用更具针对性的方法,使用适合这些独特特征的客观评估工具,如专门为TL患者设计的TEVA。本研究提供了统计学证据,支持其在评估和跟踪气管食管发音者方面的可靠性和适用性。