The selection of features to be used for the task of Automatic Speech Recognition (ASR) is critical to the overall performance of the ASR system. Throughout the history of development of ASR systems, a variety of features have been proposed and used, with greater or lesser success. Still, the research for new features, as well as modifications to the traditional ones, continues. Newly proposed features as well as traditional feature optimization focus on adding robustness to ASR systems, which is of great importance for applications involving noisy environments. The paper seeks to give a general overview of the various features that have been used in ASR systems, giving details to an extent granted by the space available.
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