Abstract: A distributed voice recognition system and method for obtaining acoustic features and speech activity at multiple frequencies by extracting high frequency components thereof on a device, such as a subscriber station and transmitting them to a network server having multiple stream processing capability, including cepstral feature processing, MLP nonlinear transformation processing, and multiband temporal pattern architecture processing. The features received at the network server are processed using all three streams, wherein each of the three streams provide benefits not available in the other two, thereby enhancing feature interpretation. Feature extraction and feature interpretation may operate at multiple frequencies, including but not limited to 8 kHz, 11 kHz, and 16 kHz.

Abstract: An accurate grammar analyzer based on a so-called POST (part-of-speech tagged) parser and a learners' model for use in automated language learning applications such as the template-based ICALL (intelligent computer assisted language learning) system.

Abstract: A method and apparatus for controlling an interactive human-machine interface, which includes an input device and comprises a set of states. The set of states form a network through which data can be passed as a token. In a dialogue control unit, future states are assessed to determine allowable user inputs that may be received from the user. Each portion of the user input is stored in an associated node of the token, for use in the current state or in another of the active states. Each node is checked to see if it relates to the current state, and if so, then the portion of the user input stored in the node is processed.