A speech recognition system includes a user profile to store acoustic data and a corresponding text transcript. A speech recognition ("SR") server downloads the acoustic data and the corresponding text transcript that are stored in the user profile. A speech recognition engine is included to adapt an acoustic model based on the acoustic data.

A system and method for creating user voice profiles enables a user to create a single user voice profile that is compatible with one or more voice servers. Such a system includes a training server that receives audio information from a client associated with a user and stores the audio information and corresponding textual information. The system further includes a training server adaptor. The training server adaptor is configured to receive a voice profile format and a communication protocol corresponding to one of the plurality of voice servers, convert the audio information and corresponding textual information into a format compatible with the voice profile format and communication protocol corresponding to the one of the plurality of voice servers, and provide the converted audio information and corresponding textual information to the one of the plurality of voice servers.

An intelligent control system based on an explicit model of cognitive development (Table 1) performs high-level functions. It comprises up to O hierarchically stacked neural networks, N.sub.m, . . . , N.sub.m+(O-1), where m denotes the stage/order tasks performed in the first neural network, N.sub.m, and O denotes the highest stage/order tasks performed in the highest-level neural network. The type of processing actions performed in a network, N.sub.m, corresponds to the complexity for stage/order m. Thus N.sub.1 performs tasks at the level corresponding to stage/order 1. N.sub.5 processes information at the level corresponding to stage/order 5. Stacked neural networks begin and end at any stage/order, but information must be processed by each stage in ascending order sequence. Stages/orders cannot be skipped. Each neural network in a stack may use different architectures, interconnections, algorithms, and training methods, depending on the stage/order of the neural network and the type of intelligent control system implemented.

The present invention includes a client-server security system. The client-server security system includes a client system receiving first biometric data and having a first level security authorization procedure. In one embodiment, the first biometric data is speech data and the first level security authorization procedure includes a first speaker recognition algorithm. A server system is provided for receiving second biometric data. The server system includes a second level security authorization procedure. In one embodiment, the second biometric data is speech data and the second level security authorization procedure includes a second speaker recognition algorithm. In one embodiment, the first level security authorization procedure and the second level security authorization procedure comprise distinct biometric algorithms.