Mandarin Chinese tone patterns vary in one of the four ways, i.e, (1) high level; (2) rising; (3) low falling and rising; and (4) high falling. The present study is to examine the efficacy of an artificial neural netw...Mandarin Chinese tone patterns vary in one of the four ways, i.e, (1) high level; (2) rising; (3) low falling and rising; and (4) high falling. The present study is to examine the efficacy of an artificial neural network in recognizing these tone patterns. Speech data were recorded from 12 children (3-6 years of age) and 15 adults. All subjects were native Mandarin Chinese speakers. The fundamental frequencies (F0) of each monosyllabic word of the speech data were extracted with an autocorrelation method. The pitch data(i.e., the F0 contours) were the inputs to a feed-forward backpropagation artificial neural network. The number of inputs to the neural network varied from 1 to 16 and the hidden layer of the network contained neurons that varied from 1 to 16 in number. The output of the network consisted of four neurons representing the four tone patterns of Mandarin Chinese. After being trained with the Levenberg-Marquardt optimization, the neural network was able to successfully classify the tone patterns with an accuracy of about 90% correct for speech samples from both adults and children. The artificial neural network may provide an objective and effective way of assessing tone production in prelingually-deafened children who have received cochlear implants.展开更多
目的探讨未引出NRT波形的人工耳蜗植入患者的康复效果。方法选取人工耳蜗植入术后患者60例,其中男34例,女26例,年龄2.5～14岁,根据术中能否引出NRT波形分为两组,试验组为术中未引出NRT波形的3例,其余57例术中引出了NRT波形者为对照组,...目的探讨未引出NRT波形的人工耳蜗植入患者的康复效果。方法选取人工耳蜗植入术后患者60例,其中男34例,女26例,年龄2.5～14岁,根据术中能否引出NRT波形分为两组,试验组为术中未引出NRT波形的3例,其余57例术中引出了NRT波形者为对照组,分别测试两组患者开机训练后3个月、6个月的听觉反应阈和语音、声调的识别能力。结果对照组开机后3个月听觉反应阈值、声母识别率、韵母识别率、声调识别率范围分别为35.8±5.5 dB SPL、76.3%±12.8%、81.5%±12.8%、71.4%±15.4%,6个月时分别为34.7±5.5 dBSPL、77.2%±13.9%、82.6%±11.8%、71.4%±15.8%。实验组3个月、6个月的听觉反应阈值和普通话声母、韵母、声调识别率值均在对照组测试结果范围之内。结论术中未引出NRT波形患者的术后康复效果等同于术中可引出NRT波形患者,不宜仅以术中能否引出NRT波形来预测术后康复效果。展开更多
文摘Mandarin Chinese tone patterns vary in one of the four ways, i.e, (1) high level; (2) rising; (3) low falling and rising; and (4) high falling. The present study is to examine the efficacy of an artificial neural network in recognizing these tone patterns. Speech data were recorded from 12 children (3-6 years of age) and 15 adults. All subjects were native Mandarin Chinese speakers. The fundamental frequencies (F0) of each monosyllabic word of the speech data were extracted with an autocorrelation method. The pitch data(i.e., the F0 contours) were the inputs to a feed-forward backpropagation artificial neural network. The number of inputs to the neural network varied from 1 to 16 and the hidden layer of the network contained neurons that varied from 1 to 16 in number. The output of the network consisted of four neurons representing the four tone patterns of Mandarin Chinese. After being trained with the Levenberg-Marquardt optimization, the neural network was able to successfully classify the tone patterns with an accuracy of about 90% correct for speech samples from both adults and children. The artificial neural network may provide an objective and effective way of assessing tone production in prelingually-deafened children who have received cochlear implants.
文摘目的探讨未引出NRT波形的人工耳蜗植入患者的康复效果。方法选取人工耳蜗植入术后患者60例,其中男34例,女26例,年龄2.5～14岁,根据术中能否引出NRT波形分为两组,试验组为术中未引出NRT波形的3例,其余57例术中引出了NRT波形者为对照组,分别测试两组患者开机训练后3个月、6个月的听觉反应阈和语音、声调的识别能力。结果对照组开机后3个月听觉反应阈值、声母识别率、韵母识别率、声调识别率范围分别为35.8±5.5 dB SPL、76.3%±12.8%、81.5%±12.8%、71.4%±15.4%,6个月时分别为34.7±5.5 dBSPL、77.2%±13.9%、82.6%±11.8%、71.4%±15.8%。实验组3个月、6个月的听觉反应阈值和普通话声母、韵母、声调识别率值均在对照组测试结果范围之内。结论术中未引出NRT波形患者的术后康复效果等同于术中可引出NRT波形患者,不宜仅以术中能否引出NRT波形来预测术后康复效果。
