Chaos Behavior Analysis of Alaryngeal Voices Including Esophageal and Tracheoesophageal Voices

Boquan Liu; Fan Zhang; Ling Chen; Matthew A Silverman; Hengxin Liu; Dehui Fu; Yongwang Huang; Jing Pan; Jack J Jiang

doi:10.1159/000521222

Chaos Behavior Analysis of Alaryngeal Voices Including Esophageal and Tracheoesophageal Voices

Folia Phoniatr Logop. 2022;74(6):431-440. doi: 10.1159/000521222. Epub 2022 Jan 20.

Authors

Boquan Liu¹, Fan Zhang², Ling Chen², Matthew A Silverman³, Hengxin Liu⁴, Dehui Fu⁵, Yongwang Huang⁵, Jing Pan⁵, Jack J Jiang³

Affiliations

¹ School of Humanities, Shanghai Jiao Tong University, Shanghai, China.
² Otorhinolaryngology Department of the Eye, ENT Hospital affiliated with Fudan University, Shanghai, China.
³ Department of Surgery, Division of Otolaryngology Head and Neck Surgery, University of Wisconsin - Madison, Madison, Wisconsin, USA.
⁴ Minzu University of China, Beijing, China.
⁵ ENT Department, The 2nd Hospital of Tianjin Medical University, Tianjin, China.

Abstract

Hypothesis/objectives: This study's objective was to develop a method to 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 (CB) and the difference between SE and TE voices.

Study design: A total of 74 voice recordings including 34 normal and 40 alaryngeal (26 SE and 14 TE) were used in the study. Voice samples were analyzed to distinguish alaryngeal voices from normal voices and to investigate different chaotic characteristics of SE and TE speech.

Methods: A chaotic distribution detection-based method was used to investigate the CB of alaryngeal voices. This CB was used to detect the difference between SE and TE voice types. Quantification of the CB parameter was performed. Statistical analyses were used to compare the results of the CB analysis for both the SE and TE voices.

Results: 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).

Conclusions: 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 CB 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 acoustic information when monitoring the efficacy of treatment for patients undergoing total laryngectomies.

Keywords: Alaryngeal speech; Chaos behavior; Esophageal voice; Tracheoesophageal voice.

Publication types

Research Support, Non-U.S. Gov't
Research Support, N.I.H., Extramural

MeSH terms

Acoustics
Humans
Laryngectomy
Speech Acoustics
Speech, Alaryngeal* / methods
Speech, Esophageal
Voice*

Grants and funding

R01 DC006019/DC/NIDCD NIH HHS/United States