Abstract

Maximum performance tasks have been identified as possible domains where incipient signs of neurological disease may be detected in simple speech and voice samples. However, it is likely that these will simultaneously be influenced by the age and sex of the speaker. In this study, a comprehensive set of acoustic quantifications were collected from the literature and applied to productions of sustained [a] productions and Alternating Motion Rate diadochokinetic (DDK) syllable sequences made by 130 (62 women, 68 men) healthy speakers, aged 20–90 years. The participants were asked to produce as stable (sustained [a] and DDK) and fast (DDK) productions as possible. The full set of features were reduced to a functional subset that most efficiently modeled sex-specific differences between younger and older speakers using a cross-validation procedure. Twelve measures of [a] and 16 measures of DDK sequences were identified across men and women and investigated in terms of how they were altered with increasing age of speakers. Increased production instability is observed in both tasks, primarily above the age of 60 years. DDK sequences were slower in older speakers, but also altered in their syllable and segment level acoustic properties. Increasing age does not appear to affect phonation or articulation uniformly, and men and women are affected differently in most quantifications investigated.

Highlights

  • Our age is one of the characteristics that is conveyed through voice

  • The physiological factors contributing to the changes characteristic of an aging voice are numerous, including decreased pulmonary function, changes in the neuromuscular properties of laryngeal musculature as well as the lamina propria of the vocal folds

  • The vertical axis indicates the mean-squared error (MSE) of the model when the given lambda is applied to reduce the number of predictors, with standard error bands across the 10 folds used in model training

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Summary

Introduction

People are usually very good at determining a person’s age by listening to samples of their voice, accuracy depending on the type of speech sample and age of the speaker (Ptacek and Sander 1966). The reason for this is that voice and speech are audible reflections of age-related physiological changes. The physiological factors contributing to the changes characteristic of an aging voice (presbyphonia) are numerous, including decreased pulmonary function, changes in the neuromuscular properties of laryngeal musculature as well as the lamina propria of the vocal folds. The main perceptual characteristics of presbyphonia are vocal weakness, hoarseness, breathiness, and instability (Leeuw and Mahieu 2004)

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