Alaryngeal Speech Enhancement for Noisy Environments Using a Pareto Denoising Gated LSTM.

Loss of the larynx significantly alters natural voice production, requiring alternative communication modalities and rehabilitation methods to restore speech intelligibility and improve the quality of life of affected individuals. This paper explores advances in alaryngeal speech enhancement to improve signal quality and reduce background noise, focusing on individuals who have undergone laryngectomy. In this study, speech samples were obtained from 23 Lithuanian males who had undergone laryngectomy with secondary implantation of the tracheoesophageal prosthesis (TEP).

Accuracy Analysis of the Multiparametric Acoustic Voice Indices, the VWI, AVQI, ABI, and DSI Measures, in Differentiating between Normal and Dysphonic Voices.

The study aimed to investigate and compare the accuracy and robustness of the multiparametric acoustic voice indices (MAVIs), namely the Dysphonia Severity Index (DSI), Acoustic Voice Quality Index (AVQI), Acoustic Breathiness Index (ABI), and Voice Wellness Index (VWI) measures in differentiating normal and dysphonic voices. The study group consisted of 129 adult individuals including 49 with normal voices and 80 patients with pathological voices. The diagnostic accuracy of the investigated MAVI in differentiating between normal and pathological voices was assessed using receiver operating characteristics (ROC).

Smartphone-Based Voice Wellness Index Application for Dysphonia Screening and Assessment: Development and Reliability.

Objective: This study aimed to develop a Voice Wellness Index (VWI) application combining the acoustic voice quality index (AVQI) and glottal function index (GFI) data and to evaluate its reliability in quantitative voice assessment and normal versus pathological voice differentiation.

Study Design: Cross-sectional study.

Methods: A total of 135 adult participants (86 patients with voice disorders and 49 patients with normal voices) were included in this study.

Pareto-Optimized Non-Negative Matrix Factorization Approach to the Cleaning of Alaryngeal Speech Signals.

The problem of cleaning impaired speech is crucial for various applications such as speech recognition, telecommunication, and assistive technologies. In this paper, we propose a novel approach that combines Pareto-optimized deep learning with non-negative matrix factorization (NMF) to effectively reduce noise in impaired speech signals while preserving the quality of the desired speech. Our method begins by calculating the spectrogram of a noisy voice clip and extracting frequency statistics.

Reliability of Universal-Platform-Based Application in AVQI Measurements Captured with Different Smartphones.

The aim of the study was to develop a universal-platform-based (UPB) application suitable for different smartphones for estimation of the Acoustic Voice Quality Index (AVQI) and evaluate its reliability in AVQI measurements and normal and pathological voice differentiation. Our study group consisted of 135 adult individuals, including 49 with normal voices and 86 patients with pathological voices. The developed UPB "" application installed on five iOS and Android smartphones was used for AVQI estimation.

Recurring desmoid tumor of the neck: A case report.

The infiltrative growth pattern of desmoid tumors and their proximity to important anatomical structures make them difficult to manage. Mutilating surgery should be avoided, while surveillance or radiotherapy remain valid options.

Substitution voicing index: towards improved speech assessment in patients who have undergone laryngeal oncosurgery.

This study aimed to develop a multidimensional model for the evaluation of substitution voicing (SV) after laryngeal oncosurgery. The study group consisted of 121 adult male individuals: 59 patients with SV after laryngeal oncosurgery (endolaryngeal cordectomy, partial laryngectomy, total laryngectomy with tracheoesophageal prosthesis) and 62 healthy controls. A multidimensional protocol for the assessment of SV included, 1) self-reported speech evaluation with a short version of the Speech Handicap Index, 2) auditory-perceptual assessment, and 3) acoustic speech analysis using AMPEX® (Auditory Model Based Pitch Extractor) software.

Lightweight Deep Learning Model for Assessment of Substitution Voicing and Speech after Laryngeal Carcinoma Surgery.

Laryngeal carcinoma is the most common malignant tumor of the upper respiratory tract. Total laryngectomy provides complete and permanent detachment of the upper and lower airways that causes the loss of voice, leading to a patient's inability to verbally communicate in the postoperative period. This paper aims to exploit modern areas of deep learning research to objectively classify, extract and measure the substitution voicing after laryngeal oncosurgery from the audio signal.

Factors Affecting the Lifetime of Third-Generation Voice Prosthesis After Total Laryngectomy.

Purpose: The study aimed to evaluate the impact of different variables on the longevity of Voice Prosthesis (VP) in patients after total laryngectomy.

Patients And Methods: This retrospective cohort study is based on data about a continuous series of 328 third-generation VP, which were implanted between 2016 and 2020. Data about the VP users' age, sex, place of residence, laryngeal tumor stage, neck irradiation, VP size, and the use of Heat and Moisture Exchanger (HME) were obtained and analyzed.

Investigation of Relationship Between Auditory-Perceptual Methods and Self-reported Speech Handicap Index in the Assessment of Substitution Voicing.

Objective: To assess correlations between auditory-perceptual and self-reported speech evaluation methods for substitution voicing (SV) and to investigate the robustness of these methods in a clinical setting.

Methods: Fifty-nine male patients who underwent laryngeal oncosurgery and 62 healthy male controls were included in this prospective study. Lithuanian versions of the Speech Handicap Index (SHI-LT) and Impression of voice quality (I), Impression of intelligibility (I), Unintended additive Noise (N), Fluency (F), and Quality of Voicing (Vo) scale (IINFVo-LT) were used to assess and compare self-reported and auditory-perceptual evaluations of SV.

Glottal function index questionnaire for screening of pediatric dysphonia.

Objective: to assess the diagnostic value of Lithuanian version of Glottal Function Index (GFI-LT) questionnaire in pediatric dysphonia screening.

Methods: The GFI-LT was completed by 82 children (7-16 years old): 41 patients with voice disorders (patients group) and 41 healthy subjects (control group). Auditory-perceptual evaluation of voice was performed using the Grade Roughness Breathiness (GRB) protocol.

Validation of the Lithuanian Version of the Speech Handicap Index.

Objective: The objective is to study the cultural adaptation and validation of the Speech Handicap Index (SHI) questionnaire to the Lithuanian language.

Methods: Cultural adaptation and validation of the translated Lithuanian version of the SHI (SHI-LT) was performed as described by the Scientific Advisory Committee of the Medical Outcomes Trust. The SHI-LT was completed by 46 patients after total laryngectomy and by 60 healthy subjects of the control group.

The most important throat-related symptoms suggestive of chronic tonsillitis as the main indication for adult tonsillectomy.

Background And Objective: The literature lacks data about the evaluation of throat-related symptoms proving chronic tonsillitis as the most common indication for adult tonsillectomy. Therefore, the aim of this study was to assess the most important throat-related symptoms suggestive of chronic tonsillitis in adults.

Material And Methods: A prospective cohort study was carried out.