Fluent speech contains no known acoustic analog of the blank spaces between printed words. Early research presumed that word learning is driven primarily by exposure to isolated words. In the last decade there has been a shift to the view that exposure to isolated words is unreliable and plays

A speaker-dependent isolated word recognition system can attain a high re-cognition rate, It is, however, not easy to train such a system with a large voca-bulary, and is necessary to adapt the system to a specific speaker with a small set of his training samples. We present a new method

This paper aims to discuss the implementation of an Isolated Word Recognition system for Autistic speech using Hidden Markov Model (HMM). This system will be able to recognize the spoken words of Autistic children. Autism is a neurological disability which resists the functions of neurons in human

This paper deals with recognition of isolated words by hybrid approach. The brief description of the principles of hybrid recognition is introduced, the recognition phases and feature optimisations are introduced. The report is concluded by practical part with performance results. 1.

This paper presents speech signal modeling techniques which are well suited to high performance and robust isolated word recognition. Speech is encoded by a discrete cosine transform of its spectra, after several preprocessing steps. Temporal information is then also explicitly encoded

This paper presents speech signal modeling techniques which are well suited to high performance and robust isolated word recognition. Speech is encoded by a discrete cosine transform of its spectra, after several preprocessing steps. Temporal information is then also explicitly encoded

Abstract:- In this paper, an embedded isolated word recognition system, which is designed for command and control applications, is presented. The hardware is designed by using a 32 bit general purpose ARM7TDMI cored microcontroller and required peripherals. Vector Quantization (VQ) and Discrete

The literature on interference in the Stroop Color-Word Task, covering over 50 years and some 400 studies, is organized and reviewed. In so doing, a set ofl 8 reliable empirical findings is isolated that must be captured by any successful theory of the Stroop effect. Existing theoretical positions

Abstract—The technique of dynamic programming for the time regis-tration of a reference and a test pattern has found widespread use in the area of isolated word recognition. Recently, a number of variations on the basic time warping algorithm have been proposed by Sakoe and Chiba, and Rabiner

can be controlled by a human voice. The computer controlling processes are available by means of utterance of isolated words, where application events with the aid of user’s voice can be serviced. The voice usage can be convenient for blind or partially sighted users or for persons with limb paresis