Abstract
The use of the Internet for accessing information has expanded dramatically over the past few years, while the availability and use of mobile hand-held devices for communication and Internet access has greatly increased in parallel. Industry has reacted to this trend for information access by developing services and applications that can be accessed by users on the move. These trends have highlighted a need for alternatives to the traditional methods of user data input, such as keypad entry, which is difficult on small form-factor mobile devices. One alternative is to make use of automatic speech recognition (ASR) systems that act on speech input from the user. An ASR system has two main elements. The first element is a front-end processor that extracts parameters, or features, that represent the speech signal. These features are processed by a back-end classifier, which makes the decision as to what has been spoken.
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