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Study on Speech Control of Turning Movements of the Multifunctional Nursing Bed

机译:多功能护理床转动动作的语音控制研究

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摘要

As it takes long time to train while Hidden Markov Model(HMM) is employed to speech recognition, an improved method is proposed and successfully applied to speech control of turning movements of the multifunctional nursing bed. The experimental results show that the improved algorithm reduces training time greatly and the accuracy of speech recognition remains unchanged, which results in the multifunctional nursing bed being easier to use.
机译:由于采用隐马尔可夫模型(HMM)进行语音识别需要很长的训练时间,因此提出了一种改进的方法,并将其成功地应用于多功能护理床转弯运动的语音控制中。实验结果表明,改进后的算法大大减少了训练时间,语音识别的准确性保持不变,从而使多功能护理床更易于使用。

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