This is the first of a two-part series devoted to review the current state of the art of automatic
voice condition analysis systems. The goal of this paper is to provide to the scientific …

Abstract The “Big Data” era has arisen, driven by the increasing availability of data from
multiple sources such as social media, online transactions, network sensors or mobile …

This paper evaluates the accuracy of different characterization methods for the automatic
detection of multiple speech disorders. The speech impairments considered include …

This study broaches in a novel way the analysis of cognitive impairment characteristic of the
early stages of Alzheimer's Disease (AD). Specifically, we attempt to determine the acoustic …

This paper presents new a feature transformation technique applied to improve the
screening accuracy for the automatic detection of pathological voices. The statistical …

Automatic detection of voice pathologies enables non-invasive, low cost and objective
assessments of the presence of disorders, as well as accelerating and improving the …

To improve effectively the performance on spoken emotion recognition, it is needed to
perform nonlinear dimensionality reduction for speech data lying on a nonlinear manifold …

为了有效提高语音情感识别的性能, 需要对嵌入在高维声学特征空间的非线性流形上的语音特征
数据作非线性降维处理. 监督局部线性嵌入(SLLE) 是一种典型的用于非线性降维的监督流形 …

En este trabajo se describe una técnica útil para cuantificar el grado de déficits en el habla
de los pacientes con Enfermedad de Alzheimer (EdA). Se comparan las características …

The efficiency, reliability and lifespan of the fuel cell are strongly affected by the dynamic
load variation of its output, which renders it desperate to investigate the influence of the …