Experiments with Automatic Speech Understanding (ASU) problems were presented in , in which the underlying acoustic and syntactic-semantic structure of the task was tried to be automatically learned into a global model. Results indicated that, while a Simple Recurrent Network (SRN) was actually able to capture most of the acoustic features of the ASU task, the syntactic-semantic structure was difficult to learn. We propose here appropriate modifications to this SRN which significantly improve the understanding rates.
Bibliographic reference. Castano, M. A. / Vidal, Enrique / Casacuberta, F. (1995): "Preliminary experiments for automatic speech understanding through simple recurrent networks", In EUROSPEECH-1995, 1673-1676.