It is often assumed that acoustic-phonetic or articulatory features can be beneficial for automatic speech recognition (ASR), e.g. because of their supposedly greater noise robustness or because they provide a more convenient interface to higher-level components of ASR systems such as pronunciation modeling. However, the success of these features when used as an alternative to standard acoustic...

Speaker Adaptation is a technique which is used to improve the recognition accuracy of Automatic Speech Recognition (ASR) systems. Here, we report a study of the impact of online speaker adaptation on the performance of a speaker independent, continuous speech recognition system for Hindi language. The speaker adaptation is performed using the Maximum Likelihood Linear Regression (MLLR) transfo...

This tutorial presents an overview of automatic speech recognition systems. First, a mathematical formulation and related aspects are described. Then, some background on speech production/perception is presented. An historical review of the efforts in developing automatic recognition systems is presented. The main algorithms of each component of a speech recognizer and current techniques for im...