Second European Conference on Speech Communication and Technology

Genova, Italy
September 24-26, 1991


ANN-Based Speech Recognition Using a Preprocessor for Non-Linear Time Compression

P. O. Husoy, T. Svendsen

Div. of Telecommunications, The Norwegian Institute of Technology, Trondheim, Norway

Artificial Neural Networks have generated widespread research activity also within the speech recognition community. Although ANN has a great potential, traditional methods have so far outperformed ANN-based solutions for speech recognition in most cases. In this study, we propose a method for non-linearly compressing the data presented to the classifier. The non-linear compression reduces the amount of input data, thereby simplifying the task of the network which in turn leads to improved performance. In a isolated word recognition task, using an alpha-digit vocabulary, the proposed system obtained a recognition score of 99. 1%, better than any of the "traditional" speech recognizers tested on the same task.

Full Paper

Bibliographic reference.  Husoy, P. O. / Svendsen, T. (1991): "ANN-based speech recognition using a preprocessor for non-linear time compression", In EUROSPEECH-1991, 563-566.