This study employs independent component analysis (ICA) subspace feature selection for the robust speaker verification (SV). ICA subspace provides statistically independent basis that spans the same space and preserves the Euclidean distance ...

Enhancement of robustness has become one of research focuses of acoustic speech recognition system. In recent works, Missing Feature Theory (MFT) has been proved an available and considerable solution for robust speech recognition based on either ...

Arabic is a Semitic language that is rich in its morphology and syntax. The very numerous and complex grammar rules of the language could be confusing even for Arabic native speakers. Many Arabic intelligent computer-assisted language-learning (ICALL) ...

Esperanto is a constructed natural language, which was intended to be an easy-to-learn lingua franca. Zipf's law models the statistical proportions of various phenomena in human ecology, including natural languages. Given Esperanto's artificial origins, ...

This paper proposes a speech comprehension computational model based on neurocognitive researches. The computational representation uses techniques as wavelets transform and connectionist models. The speech signal codification and data prosodic ...

Representing emotional expressions in text-to-speech synthesis is an interesting subject. The ultimate purpose of our research is to develop an automatic reading system which reads text aloud such as novels with emotion. Our strategy for constructing ...

Mining causality knowledge will induce a knowledge of reasoning that is beneficial for our daily use in diagnosis. Then, this framework is for discovering causality existing between causative antecedent and effective consequent discourse units. There ...