A Speech-based Human Computer Interaction

Human-computer interaction (HCI) is a discipline concerned with the design, evaluation and implementation of interactive computing systems for human use. There are several interaction styles for human computer interaction such as command line interface, mAutomatic speech recognition (ASR) systems can fall into several categories according to the nature of the utterance they are thought to recognize. These categories are based on the ability of ASR to specify when a speaker starts and finishes an utteranceMel Frequency Cepestral Coefficient (MFCCS) features are the most widely used feature in speech recognition and also in speaker recognition. Recently wavelet features and in particular wavelet packet features (WPF) is used and provide better recognition rIn the proposed model end point detection and wavelet packet decomposition along with hamming window is used to extract speech feature. These features become an input to the Gaussian mixture hidden Markov model recognizer. The performance of our proposed