Linear Feature Transformations in Slovak Phoneme-Based Continuous Speech Recognition

The most common acoustic front-ends in automatic speech recognition (ASR) systems are based on the state-of-the-art Mel-Frequency Cepstral Coefficients (MFCCs). The practice shows that this general technique is good choice to obtain satisfactory speech representation. In the past few decades, the researchers have made a great effort in order to develop and apply such techniques, which may improve the recognition performance of the conventional MFCCs. In general, these methods were taken from mathematics and applied in many research areas such as face and speech recognition, high-dimensional data and signal processing, video and image coding and many other. One group of mentioned methods is represented by linear transformations.

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