Server-assisted speech recognition over the Internet

We propose a new architecture for deploying speech recognition over the Internet. The client performs the recognition, but is assisted by the server who computes the speech parameters. To demonstrate the architecture, we developed a Java-based Web-navigation system where the precomputed HMM models of the hyperlinked words are stored on the Web page and downloaded by the client. We tested the system on a digit-recognition example. The results show that with quantization and compression of the speech parameters, good recognition can be achieved in acceptable download and calculation time even on clients with modest connection speeds and computational powers