Hardware Implementation of Artificial Neural Network for Speech Recognition

Student: Pchelkin Dmitrii

Faculty: HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE)

Educational Programme: Information Science and Computation Technology (Bachelor)

Year of Graduation: 2019

The research is focused on the studying and developing a hardware implementation of an artificial neural network for short voice commands recognition. In particular, the paper proposes a certain neural network architecture for recognizing simple voice commands, which seems to be optimal given the constraints required for hardware implementation. Further, the process of designing and prototyping the hardware module performing recognition is described. Finally, the paper evaluates the effectiveness and technical characteristics of the developed solution, which allows to optimize required computational resources necessary for recognizing short voice commands, while maintaining the level of recognition quality.

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