Optimization Method for Parameter Matching of Heavy Medium Shallow Slot Sorter Based on Speech Recognition
To further improve the sorting efficiency and accuracy,a parameter matching optimization method for heavy medium shallow groove sorting machine based on speech recognition is proposed.Firstly,install an omnidirectional microphone on the heavy medium shallow slot sorting machine to collect voice commands from operators.Secondly,a hybrid model is used to recognize speech signals,and the recognition results are mapped to specific process parameters through regular expression matching.Finally,conduct experimental analysis.The experimental results show that using this method can effectively improve sorting efficiency,reduce labor intensity,and achieve precise parameter control.
speech recognitionheavy medium shallow groove sorting machineparameter matching
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