Proceedings of the International Workshop on Applications of Neural Networks to Telecommunications

Real-Time Identification of Language from Raw Speech Waveforms

Stan C. Kwasny, Barry L. Kalman, A. Maynard Engebretson, and Weilan Wu

Department of Computer ScienceWashington UniversitySt. Louis, Missouri 63130 [e-mail]@[e-mail]@cs.wustl.edu

Abstract

Real-time language identification is a problem well-suited to neural network solution. By limiting the amount of speech processing at the frontend this can be achieved to a surprising degree. In our experiments we have developed a recurrent neural network which has been trained and tested using examples from English and French.The recurrent network produces a series of activation patterns (one outcome for each cycle) which can be seen as votes for or against ...