Automatic Speech Recognition Front-End Implemented by Means of Algorithmic Skeletons and Partial Reconfiguration

N. Montealegre and V. Kataev (Germany)


Automatic Speech Recognition, Channel Vocoder Analyzer, Algorithmic Skeletons, Partial Reconfiguration,FPGA


A speech recognition front-end is a digital signal processing device used to transform an audio signal into feature vectors used for Automatic Speech Recognition or storage of semantic audio information. The complete implementation of this device does not fit in the fabric of the FPGA of the used development board. Exploiting the inherent parallelism seen in the design of the device, the redesigning using a developed library of algorithmic skeletons and the use of dynamic partial reconfiguration have made possible to fit the device into the used FPGA.

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