A robust speech recognit ion system based on discriminative learning of environmental features is proposed for recognit ion of environmental features in high noise background, and a g radient descent algo􀀂 rithm was adopted for parameters opt imization. Ex periments w ere carried out at different levels of back􀀂 g round noise for SNR, basic accuracy, noise- resistance and system environment adaptability. T he experi􀀂 mental result s show that the system has good recog nition performance in high noisy environments. The sys􀀂 tem can meet different needs of applicat ion.

基于环境判别学习的高噪声命令语音识别系统.pdf

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