Este trabalho propõe métodos de discriminação automática entre pacientes diagnosticados com Esclerose Lateral Amiotrófica (ELA) bulbar e oradores saudáveis, a partir da extração de parâmetros do espetro de sinais de voz. Os testes com validação cruzada obtiveram uma taxa de acertos máxima num conjunto de teste de 80% e 82.4%, com os classificadores Linear Discriminant Analysis e Support Vector Classifier, respe...
This paper presents a comparison between the spectral analysis of the voices from patients diagnosed with bulbar amyotrophic lateral sclerosis (ALS) and healthy speakers. The main objective is to understand how this disease affects the voice and, consequently, the spectrum of the patients' voices. The spectrum is analysed in three energy bands, where energy peaks are estimated and the tilt between these bands i...
A análise da média e desvio padrão de parâmetros baseados no declive espectral dos sinais de fala demonstrou em trabalhos anteriores capacidade de discriminação entre oradores diagnosticados com Esclerose Lateral Amiotrófica (ELA) Bulbar e oradores saudáveis. Este trabalho continua a investigação do espectro do sinal de fala neste contexto e apresenta uma solução que funde os parâmetros apresentados anteriormen...
Este estudo apresenta uma comparação entre a análise espetral de vozes de pacientes diagnosticados com Esclerose Lateral Amiotrófica (ELA) bulbar e oradores saudáveis. O principal objetivo é entender de que modo esta doença afeta a voz e consequentemente o espectro das vozes dos pacientes. Os espectros são analisados em duas bandas de energia, onde são caracterizados picos de energia e consequentemente também o...
Este artigo apresenta um estudo comparativo entre três parâmetros espectrais na discriminação entre vozes saudáveis e patológicas. Os parâmetros avaliados envolvem a análise do primeiro pico espectral, uma medida da relação sinal-ruído e o declive entre duas bandas de baixa frequência do sinal de fala. O declive entre as bandas de baixa frequência é proposto como otimização do primeiro pico espectral, de modo a...
This paper presents a comparative study between three spectral parameters in the discrimination between healthy and pathological voices. The evaluated parameters involve the analysis of the first spectral peak, the Relative Power of the Periodic Component, which corresponds to a measure of the signal-to-noise ratio and the Low Band Spectral Tilt. The Low Band Spectral Tilt is proposed as optimization of the fir...
This paper presents a new method for discriminating between subjects with healthy voices and subjects with diseases in the vocal folds. This method uses speech signals and spectral analysis of the sustained vowel /a/. The slope between a first band of the signal defined in the first two harmonics and a second band defined in the zone of the /a/ first formant contains information that allows to correctly classif...
This paper describes the impact of the signal bandwidth reduction in the identification of voice pathologies. The implemented systems evaluate the identification of 3 classes divided by healthy subjects, subjects diagnosed with physiological larynx pathologies and subjects diagnosed with neuromuscular larynx pathologies. Continuous speech signals are down-sampled to 4 kHz and the extracted spectral parameters a...
Objectives. Speech signal processing techniques have provided several contributions to pathologic voice identification, in which healthy and unhealthy voice samples are evaluated. A less common approach is to identify laryngeal pathologies, for which the use of a noninvasive method for pathologic voice identification is an important step forward for preliminary diagnosis. In this study, a hierarchical classifie...
Objectives. Speech signal processing techniques have provided several contributions to pathologic voice identification, in which healthy and unhealthy voice samples are evaluated. A less common approach is to identify laryngeal pathologies, for which the use of a noninvasive method for pathologic voice identification is an important step forward for preliminary diagnosis. In this study, a hierarchical classifie...