Maqola

Parallel Signal Processing Based-On Graphics Processing Units

Ilyos KhujayorovComputer Systems, Tashkent University of Information technologies named after Muhammad Al-Khwarizmi, Tashkent, UzbekistanMannon OchilovComputer Systems, Tashkent University of Information technologies named after Muhammad Al-Khwarizmi, Tashkent, Uzbekistan

2019 International Conference on Information Science and Communications Technologies (ICISCT)conference2019en

ABI

Annotatsiya

This article analyzes parallel implementation of GPU in the process of generating speech spectrogram images, which is most commonly used as a parameter in speech recognition. The convenience of generating and recognizing spectrogram images from speech signals is that they are rich in character sets compared to other speech recognition methods. Therefore, most modern speech recognition systems use spectrograms. Based on the results of the experiment, it can be seen that the production of spectrogram images from speech signals in the graphics processor was faster than the central processor. This will improve the quality of speech recognition and identification in real time.

Mavzular

Neural Networks and Applications Blind Source Separation Techniques Embedded Systems Design Techniques

Identifikatorlar

DOI: 10.1109/icisct47635.2019.9011976

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