Chaos Behavior Analysis of Alaryngeal Voices Including Esophageal and Tracheoesophageal Voices.
Chaos Behavior Analysis of Alaryngeal Voices Including Esophageal and Tracheoesophageal Voices.
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DOI：
10.1159/000521222
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发表时间：
2022
影响因子：
1
通讯作者：
Jiang, Jack J.
中科院分区：
文献类型：
--
作者：
Liu, Boquan;Zhang, Fan;Chen, Ling;Silverman, Matthew A.;Liu, Hengxin;Fu, Dehui;Huang, Yongwang;Pan, Jing;Jiang, Jack J.
本研究的目的是建立一种评价无喉语音混沌特性的方法。所提出的方法将能够区分正常和无喉的声音，包括食管（SE）和气管食管（TE）的声音。先前已经表明，无喉语音由于其信号的非周期性而表现出混沌特性。所提出的方法将适用于未来使用量化的混沌行为和SE和TE的声音之间的差异。本研究共记录了74个语音记录，包括34个正常语音记录和40个无喉语音记录（26个食管（SE）和14个气管食管（TE））。分析语音样本以区分无喉语音和正常语音，并研究SE和TE语音的不同混沌特征。采用基于混沌分布检测的方法研究了无喉嗓音的混沌特性。这种混沌行为被用来检测SE和TE语音类型之间的差异。进行混沌行为（CB）参数的量化。统计分析用于比较SE和TE声音的CB分析结果。统计学分析表明，CB能有效区分正常嗓音和无喉嗓音（P<0.01）。随后的多类受试者工作特征（ROC）分析表明，CB（曲线下面积）具有最大的分类准确性相对于相关维数（D2）。CB指标显示出强大的承诺，作为一个准确的，有用的指标之间的客观区分所有正常和alaryngaeal，SE和TE的声音类型。CB计算显示了预期的结果，因为SE语音比TE语音具有明显更多的混沌行为，构成了对先前方法的实质性改进，并成为第一个SE和TE分类方法。该指标可以帮助临床医生在监测接受全喉切除术的患者的治疗效果时获得额外的声学信息。
This study’s objective was to develop a method to the evaluate the chaotic characteristic of alaryngeal speech. The proposed method will be capable of distinguishing between normal and alaryngeal voices, including esophageal (SE) and tracheoesophageal (TE) voices. It has been previously shown that alaryngeal voices exhibit chaotic characteristics due to the aperiodicity of their signals. The proposed method will be applied for future use to quantify both chaos behavior and the difference between SE and TE voices. A total of 74 voice recordings including 34 normal and 40 alaryngeal (26 esophageal (SE) and 14 tracheoesophageal (TE)) were used in the study. Voice samples were analyzed to distinguish alaryngeal voices from normal voices and investigate different chaotic characteristics of SE and TE speech. A chaotic distribution detection-based method was used to investigate the chaos behavior of alaryngeal voices. This chaos behavior was used to detect the difference between SE and TE voice types. Quantification of the chaos behavior (CB) parameter was performed. Statistical analyses were used to compare the results of the CB analysis for both the SE and TE voices. Statistical analysis revealed that CB effectively differentiated between all normal and alaryngeal voice types (P<0.01). Subsequent multiclass receiver operating characteristic (ROC) analysis demonstrated that CB (area under the curve) possessed the greatest classification accuracy relative to Correlation dimension (D2). The CB metric shows strong promise as an accurate, useful metric for objective differentiation between all normal and alaryngaeal, SE and TE voice types. The CB calculations showed expected results, as SE voices have significantly more chaos behavior than TE voices, constituting substantial improvement over previous methods and becoming the first SE and TE classification method. This metric can help clinicians obtain additional acoustical information when monitoring the efficacy of treatment for patients undergoing total laryngectomies.
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影响因子：
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作者：
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通讯作者：
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影响因子：
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作者：
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影响因子：
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DOI：
10.1097/moo.0b013e3280964dc8
发表时间：
2007-04-01
影响因子：
1.6
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