Continuous speech recognition is a great challenge in this beginning of the century. The impressive advances in hardware allow the use of sophisticated mathematical methods to solve complex problems. In this work, we show that methods invented for solving long constraint length convolutional codes can be used in speech recognition. The main contributions of this work can be summarized as follows: -The applicability of the stack decoding algorithm to continuous speech recognition. -The development and the analysis of a path metric based on the Mahalanobis distance. It has been used in the...