MULTILAYERED NETWORK FOR LPC BASED SPEECH RECOGNITION

This paper presents efficient artificial neural network based linear p redictive coding. Speech recognition is fundamentally pattern classifi cation task. The objective is to input pattern, the speech and classif y a sequence of patterns. The linear predictive coefficients of the sl owly varying speech signals are stored. A feedforward network is deter mined by linear predictive coefficients. A three layered feedforward n etwork was used with back propagation as the training algorithm. The n etwork and learning techniques are proved for their correctness and ap plied to the problem of speech recognition. The suggested novel scheme yields results in finite accuracy and recognition performance.