Results 41 to 50 of about 1,627,723 (349)
Small-size spectral features for machine learning in voice signal analysis and classification tasks
Informatika, 2023 Objectives. The problem of developing a method for calculating small-sized spectral features that increases the efficiency of existing machine learning systems for analyzing and classifying voice signals is being solved.Methods.
D. S. Likhachov +3 more
doaj +1 more source
Computer-Assisted Voice Analysis [PDF]
Archives of Otolaryngology–Head & Neck Surgery, 2002 To establish and characterize the first pediatric normative database for the Multi-Dimensional Voice Program, a computerized voice analysis system, and to compare the normative data with the vocal profiles of patients with vocal fold nodules.A cross-sectional, observational design was used to establish the normative database.
Paolo, Campisi +5 more
openaire +2 more sources
Privacy-Preserving iVector-Based Speaker Verification [PDF]
, 2019 This paper introduces an efficient algorithm to develop a privacy-preserving voice verification based on iVector and linear discriminant analysis techniques.
Lu, R. +4 more
core +1 more source
Combined Method for Informative Feature Selection for Speech Pathology Detection
Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki, 2023 The task of detecting vocal abnormalities is characterized by a small amount of available data for training, as a consequence of which classification systems that use low-dimensional data are the most relevant.
D. S. Likhachov +3 more
doaj +1 more source
Multidimensional acoustic analysis of pathological voice
Srpski arhiv za celokupno lekarstvo, 2009 Introduction. There are subjective and objective ways to examine the effects of vocal therapy in voice disorders. The most precise and objective check-up is the use of computer voice analysis. Objective. The aim of the research was to perform a detailed analysis of acoustic structure of the vowel A before and after voice treatment in patients with ...
Mirjana Petrovic-Lazic +3 more
openaire +4 more sources
Quality in Measurement: Beyond the deployment barrier [PDF]
, 2002 Network measurement stands at an intersection in the development of the science. We explore possible futures for the area and propose some guidelines for the development of stronger measurement techniques.
McGregor, Anthony James
core +2 more sources
Archives of Acoustics, 2019 Choral singers are among intensive voice users whose excessive vocal effort puts them at risk of developing voice disorders. The aim of the work was to assess voice quality for choral singers in the choir at the Polish-Japanese Academy of Information ...
Krzysztof SZKLANNY
doaj +1 more source
Lifestyle Behaviors and Cardiotoxic Treatment Risks in Adult Childhood Cancer Survivors
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Higher doses of anthracyclines and heart‐relevant radiotherapy increase cardiovascular disease (CVD) risk. This study assessed CVD and CVD risk factors among adult childhood cancer survivors (CCSs) across cardiotoxic treatment risk groups and examined associations between lifestyle behaviors and treatment risks.
Ruijie Li +6 more
wiley +1 more source
Exploring Acoustic Correlates of Depression and Preliminary Screening Models Using XGBoost and SHAP
Behavioral SciencesThis exploratory study investigated whether voice-derived acoustic features reflect depressive symptom severity and whether they carry preliminary predictive signal for distinguishing individuals with Major Depressive Disorder (MDD) from healthy controls
Kwang-Ho Seok, Jaeeun Shin, Sung-Man Bae
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Despite their increased risk for functional impairment resulting from cancer and its treatments, few adolescents and young adults (AYAs) with a hematological malignancy receive the recommended or therapeutic dose of exercise per week during inpatient hospitalizations.
Jennifer A. Kelleher +8 more
wiley +1 more source