目的探讨低龄人工耳蜗植入术后儿童言语感知和空间听觉能力发育规律及二者之间的关系。方法31例人工耳蜗植入术后儿童,男16例、女15例,年龄(2.3±1.2)岁(x±s,下同),分别在术前、开机6个月以及开机12个月,应用普通话婴幼儿有意...目的探讨低龄人工耳蜗植入术后儿童言语感知和空间听觉能力发育规律及二者之间的关系。方法31例人工耳蜗植入术后儿童,男16例、女15例,年龄(2.3±1.2)岁(x±s,下同),分别在术前、开机6个月以及开机12个月,应用普通话婴幼儿有意义听觉整合量表(Infant-toddler Meaningful Auditory Integration Scale,IT-MAIS)/普通话有意义听觉整合量表(Meaningful Auditory Integration Scale,MAIS)和普通话早期言语感知测试(Mandarin Early Speech Perception test,MESP)评估听觉能力和言语感知能力发展,应用言语空间听觉质量量表父母版问卷(Speech,Spatial,and Other Qualities of Hearing Scale for Parents,SSQ-P)评估空间听觉能力的发展。应用SPSS 23.0软件进行统计学分析。结果随开机时间延长,31例人工耳蜗植入儿童IT-MAIS/MAIS、MESP得分率持续提高,术前、开机6个月及开机12个月三个时间节点的得分率差异均有统计学意义(P值均<0.01)。SSQ-P(Speech)和SSQ-P(Spatial)得分:术前分别为(0.9±0.2)、(0.8±0.3)分,开机6个月为(4.6±0.2)、(2.6±0.3)分,开机12个月为(6.2±0.2)、(6.3±0.3)分,两项得分在术前、开机6个月、开机12个月三个时间节点差异均有统计学意义(P值均<0.01)。SSQ-P(Spatial)从术前至开机12个月的增长率为675.3%、开机6个月至12个月期间的增长率为140.6%,明显高于IT-MAIS/MAIS、LV-MESP及SSQ-P(Speech)的增长率。CI开机后12个月,SSQ-P(Speech)得分与SSQ-P(Spatial)得分呈中度相关(r=0.465,P=0.008)。结论人工耳蜗植入术后儿童随开机时间延长,其听能、言语感知能力、空间听觉能力均呈现持续性显著进步。开机12个月时空间听觉能力增长率大于言语感知能力,且空间听觉能力在人工耳蜗开机6个月后仍呈现快速发育特点。展开更多
The Perception Spectrogram Structure Boundary（PSSB）parameter is proposed for speech endpoint detection as a preprocess of speech or speaker recognition.At first a hearing perception speech enhancement is carried out...The Perception Spectrogram Structure Boundary（PSSB）parameter is proposed for speech endpoint detection as a preprocess of speech or speaker recognition.At first a hearing perception speech enhancement is carried out.Then the two-dimensional enhancement is performed upon the sound spectrogram according to the difference between the determinacy distribution characteristic of speech and the random distribution characteristic of noise.Finally a decision for endpoint was made by the PSSB parameter.Experimental results show that,in a low SNR environment from-10 dB to 10 dB,the algorithm proposed in this paper may achieve higher accuracy than the extant endpoint detection algorithms.The detection accuracy of 75.2%can be reached even in the extremely low SNR at-10 dB.Therefore it is suitable for speech endpoint detection in low-SNRs environment.展开更多
文摘目的探讨低龄人工耳蜗植入术后儿童言语感知和空间听觉能力发育规律及二者之间的关系。方法31例人工耳蜗植入术后儿童,男16例、女15例,年龄(2.3±1.2)岁(x±s,下同),分别在术前、开机6个月以及开机12个月,应用普通话婴幼儿有意义听觉整合量表(Infant-toddler Meaningful Auditory Integration Scale,IT-MAIS)/普通话有意义听觉整合量表(Meaningful Auditory Integration Scale,MAIS)和普通话早期言语感知测试(Mandarin Early Speech Perception test,MESP)评估听觉能力和言语感知能力发展,应用言语空间听觉质量量表父母版问卷(Speech,Spatial,and Other Qualities of Hearing Scale for Parents,SSQ-P)评估空间听觉能力的发展。应用SPSS 23.0软件进行统计学分析。结果随开机时间延长,31例人工耳蜗植入儿童IT-MAIS/MAIS、MESP得分率持续提高,术前、开机6个月及开机12个月三个时间节点的得分率差异均有统计学意义(P值均<0.01)。SSQ-P(Speech)和SSQ-P(Spatial)得分:术前分别为(0.9±0.2)、(0.8±0.3)分,开机6个月为(4.6±0.2)、(2.6±0.3)分,开机12个月为(6.2±0.2)、(6.3±0.3)分,两项得分在术前、开机6个月、开机12个月三个时间节点差异均有统计学意义(P值均<0.01)。SSQ-P(Spatial)从术前至开机12个月的增长率为675.3%、开机6个月至12个月期间的增长率为140.6%,明显高于IT-MAIS/MAIS、LV-MESP及SSQ-P(Speech)的增长率。CI开机后12个月,SSQ-P(Speech)得分与SSQ-P(Spatial)得分呈中度相关(r=0.465,P=0.008)。结论人工耳蜗植入术后儿童随开机时间延长,其听能、言语感知能力、空间听觉能力均呈现持续性显著进步。开机12个月时空间听觉能力增长率大于言语感知能力,且空间听觉能力在人工耳蜗开机6个月后仍呈现快速发育特点。
文摘目的探讨皮层听觉诱发电位(cortical auditory evoked potential,CAEP)用于中度与重度听力损失老年人助听前后言语识别能力评估的可靠性和有效性。方法26例中度与重度听力损失老年人均验配同一型号测试用助听器,于佩戴助听器前后在声场中分别测试/m/、/g/、/t/三个刺激声在65 dB SPL强度下的皮层听觉诱发电位,记录N_(1)、P_(2)波潜伏期和幅值,测试信噪比为10、5、0 dB,语音强度为65 dB SPL条件下的普通话句子言语识别率,分析助听前后的各波潜伏期和幅值以及言语识别率差异,分析各波潜伏期和幅值与言语识别率的相关性。结果与助听前比较,助听后CAEP各波潜伏期缩短,幅值增大,言语识别率得分升高。非参数检验结果显示/m/刺激声下N_(1)波潜伏期和幅值、P_(2)波幅值,/g/刺激声下N_(1)波潜伏期、P_(2)波幅值,/t/刺激声下N_(1)波潜伏期和幅值在助听前后差异有统计学意义(P<0.05)。助听后/m/、/g/、/t/刺激声下N_(1)-P_(2)峰峰波幅较助听前均增大,差异均有显著统计学意义(P<0.05)。助听前多个条件下CAEP与言语感知相关性显著(P<0.05),助听后/g/、/t/刺激声下CAEP的P_(2)波幅值与信噪比0 dB条件下言语识别率呈正相关(P<0.05)。结论中度至重度听力损失老年人助听后CAEP潜伏期缩短、幅值增大,言语识别率升高,CAEP与言语感知之间在佩戴助听器前后均有相关性。
基金supported by the National Natural Science Foundation of China.(61071215,61271359,61372146)
文摘The Perception Spectrogram Structure Boundary（PSSB）parameter is proposed for speech endpoint detection as a preprocess of speech or speaker recognition.At first a hearing perception speech enhancement is carried out.Then the two-dimensional enhancement is performed upon the sound spectrogram according to the difference between the determinacy distribution characteristic of speech and the random distribution characteristic of noise.Finally a decision for endpoint was made by the PSSB parameter.Experimental results show that,in a low SNR environment from-10 dB to 10 dB,the algorithm proposed in this paper may achieve higher accuracy than the extant endpoint detection algorithms.The detection accuracy of 75.2%can be reached even in the extremely low SNR at-10 dB.Therefore it is suitable for speech endpoint detection in low-SNRs environment.
