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- ArticleFebruary 2006
The usage of independent component analysis for robust speaker verification
AIA'06: Proceedings of the 24th IASTED international conference on Artificial intelligence and applicationsPages 136–141This 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 ...
- ArticleFebruary 2006
Enhancing robustness of speech recognition by approach of feature with confident weight
AIA'06: Proceedings of the 24th IASTED international conference on Artificial intelligence and applicationsPages 115–119Enhancement 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 ...
- ArticleFebruary 2006
Error analysis and handling in Arabic ICALL systems
AIA'06: Proceedings of the 24th IASTED international conference on Artificial intelligence and applicationsPages 109–114Arabic 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) ...
- ArticleFebruary 2006
Investigating Esperanto's statistical proportions relative to other languages using neural networks and Zipf's law
AIA'06: Proceedings of the 24th IASTED international conference on Artificial intelligence and applicationsPages 102–108Esperanto 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, ...
- ArticleFebruary 2006
Computational model of speech understanding
AIA'06: Proceedings of the 24th IASTED international conference on Artificial intelligence and applicationsPages 97–101This 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 ...
- ArticleFebruary 2006
A method for classifying emotion of text based on emotional dictionaries for emotional reading
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 ...
- ArticleFebruary 2006
Mining causality knowledge from textual data
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 ...