Abstract
SHS investigation development is considered from the geographical and historical viewpoint. 3 stages are described. Within Stage 1 the work was carried out in the Department of the Institute of Chemical Physics in Chernogolovka where the scientific discovery had been made. At Stage 2 the interest to SHS arose in different cities and towns of the former USSR. Within Stage 3 SHS entered the international scene. Now SHS processes and products are being studied in more than 50 countries.
Abstract
The performance of current automatic speech recognition (ASR) systems often degrades dramatically when the input speech is corrupted by various kinds of noise sources. In this chapter, we first discuss several prominently-used and effective distribution-based feature compensation methods to improving ASR robustness, and then review two polynomial regression methods that have the merit of directly characterizing the relationship between speech features and their corresponding distribution characteristics to compensate for noise interference. All these methods were thoroughly investigated and compared using the Aurora-2 standard database and task. The empirical results demonstrate that most of these distribution-based feature compensation methods can achieve considerable word error rate reductions over the baseline system for either clean-condition or multi-condition training settings.
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Authors:Bentham Science Books