Review of analysis methods for speech applications

This paper reviews methods used to analyze speech signals for various applications such as automatic recognition of associated text and speaker identity, and coding. The survey focuses on the requirements of different appli-cations, as diverse speech tasks have often used the same methods, despite having very different objectives. As relevant information in a speech signal is distributed highly non-uniformly, a variety of time and frequency analysis techniques is examined. The utility of methods is noted in terms of performance, using accuracy, complexity, cost, and latency as criteria.