The Relationship between Traditional Acoustic Measures and Cepstral Analysis of Voice.

Introduction: In this study, the correlations between traditional acoustic measures (TAMs) and cepstral analysis (CA) were explored in Persian.

Methods: This investigation was a cross-sectional study including 179 dysphonic (n = 141) and normophonic (n = 38) speakers. The TAMs (jitter, shimmer, and noise-to-harmonic ratio) and CA (cepstral peak prominence and cepstral peak prominence smoothed) values were obtained during vowel prolongation, reading a standard sentence, and a nonstandard running speech sample using Praat software.

Investigating the role of artificial intelligence in predicting perceived dysphonia level.

Purpose: This study aims to investigate the role of one of these models in the field of voice pathology and compare its performance in distinguishing the perceived dysphonia level.

Methods: Demographic information, voice self-assessments, and acoustic measurements related to a sample of 50 adult dysphonic outpatients were presented to ChatGPT and Perplexity AI chatbots, which were interrogated for the perceived dysphonia level.

Results: The agreement between the auditory-perceptual assessment by experts and ChatGPT and Perplexity AI chatbots, as determined by Cohen's Kappa, was not statistically significant (p = 0.

Impact of Cultural-Linguistic Differences on Vocal Fatigue Perception: A Systematic Review and Meta-Analysis.

Purpose: The perception of a clinical condition or disorder can vary across patients from different cultural-linguistic backgrounds. There is insufficient evidence to inspect this potential impact on the perception of vocal fatigue (VF) as a common condition perceived by patients with voice disorders. In order to more comprehensively explore this phenomenon, a systematic review was carried out to investigate the differences in perceived VF in a variety of cultural-linguistic contexts, based on a standard self-assessment instrument-the Vocal Fatigue Index (VFI), as translated in different languages.

Comparing five-factor personality traits and psychological distress between dysphonic patients and individuals with vocally healthy voices.

Introduction: It was reported that voice can carry information about personality and psychological distress. In the current study, the relationship between five-factor personality traits and psychological distress with voice was enlightened from diverse aspects.

Methods: A total of 119 participants (55 with and 64 without dysphonia) sustained vowels /a/ and /i/, read six standard sentences, and answered a question.

Validation of the Acoustic Voice Quality Index and the Acoustic Breathiness Index in the Persian Language.

Objectives/hypothesis: This study aimed to validate the acoustic voice quality index version 03.01 (AVQIv3) and the acoustic breathiness index (ABI) in the Persian language.

Methods: Six judges assessed the severity degree of the abnormal overall voice quality (hoarseness) and breathiness from continuous speech (cs) and sustained vowel (sv) in 136 voices samples of dysphonic and 45 vocally healthy participants.

Relationship among five-factor personality traits and psychological distress with acoustic analysis.

Objectives: The relationship between personality traits and psychological distress with acoustic characteristics was investigated in the present study, regarding the existence of dysphonia, abnormal overall voice quality (AOVQ), and dysphonia type.

Methods: Fifty-five participants with dysphonia and 64 participants without dysphonia completed NEO Five-Factor Inventory and Depression, Anxiety, and Stress Scale-21. Jitter, shimmer, noise-to-harmonic ratio (NHR), cepstral peak prominence (CPP), and cepstral peak prominence-smoothed (CPPS) were calculated in sustained vowel /a/ by .

Relationship Between Aerodynamic Measurement of Maximum Phonation Time With Acoustic Analysis and the Effects of Sex and Dysphonia Type.

Objectives/hypothesis: This study set out to uncover the correlation between maximum phonation time (MPT) with acoustic and cepstral analysis in the dysphonic and control groups, considering the effects of sex and dysphonia type.

Methods: For this cross-sectional study, a sample of 179 attendees (141 dysphonic and 38 control) were randomly selected and requested to sustain the vowel /a/ as long as they could with their habitual pitch and loudness. Reading standard sentences and conversational connected speech tasks were obtained too.

Relationship of cepstral analysis with voice self-assessments in dysphonic and normal speakers.

Purpose: This study aimed to investigate the relationship of cepstral analysis (Cepstral Peak Prominence [CPP] and Cepstral Peak Prominence-Smoothed [CPPS]) with voice self-assessments (The Persian version of vocal tract discomfort [VTDp] scale and non-standard hoarseness self-assessment [NHS] questionnaire).

Methods: 223 participants (159 with and 64 without dysphonia) were asked to utter the vocal tasks namely vowels /a/ and /e/, six standard sentences, and a non-standard connected speech sample. CPP and CPPS were calculated in these three vocal tasks using the "Praat" software.

The Validity of Cepstral Analysis to Distinguish Between Different Levels of Perceptual Dysphonia in the Persian Vocal Tasks.

Objectives/hypothesis: The validity of cepstral analysis (Cepstral Peak Prominence [CPP] and Cepstral Peak Prominence-Smoothed [CPPS]) as an indicator of perceptual dysphonia was investigated in the Persian language STUDY DESIGN: Cross-sectional study.

Methods: A total of 223 participants (159 with and 64 without dysphonia) uttered vowels /a/ and /i/, six standard sentences, and non-standard connected speech. All vocal samples were perceptually evaluated by three raters on a visual analog scale and put into four groups (normal voice, mild, moderate, and severe perpetual dysphonia).

Ecosystem services mapping for green infrastructure planning-The case of Tehran.

Cities are responsible for more than 70% of carbon-related energy emissions. In order to cope with the widespread effects of these emissions-in addition to improving technology and the use of green energy-it is necessary to reduce the volume of emissions with the help of green spaces at the point of origin. Green spaces provide extensive ecosystem services that improve the quality of life and urban ecosystem livability.