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Currently, there is a growing interest in applications where human-computer interaction be performed by speech recognition. However, some devices such as smartphones and domestic appliances have limited resources for storage and processing. This limitation hinders the implementation of speech recognition systems in this type of device. In this work mathematical simplifications and programming strategies have been implemented in two typical stages of a speech recognition system: pre-emphasis, frame blocking and windowing. The goal was to analyze the impact of this implementation on the performance and computational cost of stages above. Given the adaptations made in this work, the runtime of pre-emphasis was reduced to 1/5 of the original and the frame blocking and windowing one to 1/10.

Simplificações e Adaptações para Redução do Custo Computacional do Pré-processamento de Voz na Plataforma Arduino