… Speech Recognition can be defined as the process of converting speech signal to a sequence
of words … Following are the modeling which can be used in speech recognition process: …

… It seems to us that an automatic speech recognition scheme capable of processing any
but the most trivial classes of utterances must incorporate all of the features discussed above-the …

… the required features on this basis, it establishes the required template of the speech
recognition. Computer is used in the recognition process according to the model of the speech …

… speech recognition system and the review of techniques available at various stages of speech
recognition… the post-processing stage comprises of building a speech recognition engine. …

… and tested for continuous speech recognition at the IBM Thomas … Research Continuous
Speech Recognition Group. Sentence … allows errors in the recognition process to be explicitly …

… A negative side effect of this is that HMMs do not provide much insight on the recognition
process. As a result, it is often difficult to analyze the errors of an HMM system in an attempt to …

… Instead, this paper is meant to serve as a tutorial on signal processing in state-of-the-art
speech recognition systems and to review those techniques most commonly used. In keeping …

… of speech recognition, proposed types of speech recognition, issues in speech recognition,
… network and applied to the field of speech recognition process. Artificial neural network in …

In this paper we present several of the salient theoretical and practical issues associated
with modeling a speech signal as a probabilistic function of a (hidden) Markov chain. First we …

… , speech can be looked on as a continuous stochastic process. Operably, it is dealt with as a
discrete stochastic process by … But how to discretize the speech signal? We first denote the …