Automatic Speech Recognition (ASR) has historically been a driving force behind many
machine learning (ML) techniques, including the ubiquitously used hidden Markov model …

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

The goal of this paper is to present a weighted likelihood discriminant for minimum error
shape classification. Different from traditional maximum likelihood (ML) methods, in which …

In this study, a hidden Markov Model was constructed and conditions were investigated that
would provide improved performance for a dysarthric speech (isolated word) recognition …

In this paper, we examine how energy computation and filterbank design contribute to the
overall front-end robustness, especially when the investigated features are applied to noisy …

Computer speech recognition of individuals with dysarthria, such as cerebral palsy patients
requires a robust technique that can handle conditions of very high variability and limited …

Computer speech recognition of individuals with dysarthria, such as cerebral palsy patients,
requires a robust technique that can handle conditions of very high variability and limited …

Using spectral and spectro-temporal auditory models along with perturbation-based
analysis, we develop a new framework to optimize a feature vector such that it emulates the …

Twitter has gained increasing popularity over the recent years with users generating an
enormous amount of data on a variety of topics every day. Many of these posts contain real …

Due to its mobile capability when performing house-cleaning function in absence of home
owners, a cleaning robot has sufficient capacity to be fully utilized as an automatic …