Speech recognition interaction control method for smart home based on natural language processing

Shuqing Wu

International Journal of Product Development, 2025, vol. 29, issue 1, 53-69

Abstract: In order to solve the problems of high-speech recognition error rate, low-success rate and high latency in traditional methods, a new speech recognition interaction control method for smart home based on natural language processing is proposed. A first-order FIR high-pass digital filter is used to pre-emphasise the smart home voice, and signal framing is achieved by adding a Hamming window and smart home voice signal enhancement is achieved by combining a linear filter. An improved DTW algorithm is used to recognise the smart home voice. Based on the smart home voice recognition result and natural language processing technology, interactive control instructions are determined and input into a fuzzy self-tuning PID controller to achieve smart home voice recognition and control. Experimental results show that the mean recognition error rate of this method is 5.36%, the mean success rate is 97.52% and the delay is below 0.6 s.

Keywords: natural language processing; smart home; speech recognition; interactive control; linear filter; improved DTW algorithm. (search for similar items in EconPapers)
Date: 2025
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