This work proposes an approach to address the problem of improving content selection in
automatic text summarization by using some statistical tools. This approach is a trainable …

Text document classification approaches are designed to categorise documents into
predefined classes. These approaches have two main components: document …

The rapid growth of social media on the Web, such as forum discussions, reviews, blogs,
micro-blogs, social networks and Twitter has created huge volume of opinionated data in …

For text categorization task, distinctive text features selection is important due to feature
space high dimensionality. It is important to decrease the feature space dimension to …

Abstract Automatic Speech Recognition (ASR) has standard rules which must be followed
and considered carefully. Some difficulties that lead to less ASR performance is variations in …

The term nasality refers to the timbre of the nasal phonemes. It is also used to express the
quality of sound that characterises some speakers. In this paper, we propose to classify …

This study was designed to evaluate whether or not previously proposed acoustic measures
of vowel nasality are applicable for speaker comparison in a forensic context. Three acoustic …

In this paper, we present a non-parametric speaker identification method using Earth
Mover's Distance (EMD) designed for text-indepedent speaker identification and its …

Previous research on speaker identiˆcation has demonstrated the eŠectiveness of using
syllables containing a nasal consonant. In this study, we investigated the contributions of …

In this paper, we present the evaluation results of our proposed text-independent speaker
recognition method based on the Earth Mover's Distance (EMD) using ISCSLP2006 …