A high accuracy speech command recognition ASIC is implemented in TSMC 180nm CMOS technology, which is based on a One-Dimension Convolutional Neural Network (1-D CNN) and the MFCC algorithm. The commands are reconfigurable. Max 30 speech commands are supported. Measurements reveal that the chip achieves 95.6% accuracy on Google Speech Command Database (GSCD), while keeping a reasonable power consumption as 26.4mW, which is better than the state-of-the-art chips.