Enhancement of Speech Recognition Algorithm Using DCT and Inverse Wave Transformation

作者： Sukhdeep Kaur

DOI:

关键词: Discrete cosine transform 、 Artificial intelligence 、 Algorithm 、 Automatic target recognition 、 MATLAB 、 Pattern recognition 、 Speech recognition 、 Dynamic time warping 、 Computer science 、 Filter (signal processing) 、 Stopband 、 Inverse 、 Transposition (telecommunications)

摘要: This research work focus on providing better performance in speech recognition algorithm by integrating digital signal transposition with techniques. is an approach for improving the of using butterworth stopband filter and discrete cosine transformation based compression inverse wave transformation. The main objective to integrate filtering improve results when noise present signal. In this work, matching done transformations which reduce time voices. Proposed designed implemented MATLAB. proposed has been tested given samples evaluated different recognizable unrecognizable obtaining a ratio about 98%. It shown that provides than existing increase accuracy system.

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Enhancement of Speech Recognition Algorithm Using DCT and Inverse Wave Transformation

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Enhancement of Speech Recognition Algorithm Using DCT and Inverse Wave Transformation

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