目的了解同卵双胎儿与同性别异卵双胎儿超声骨密度值(speed of sound,SOS值)同一性的差异,为人骨密度与基因的相关性提供依据。方法将2010-2013年来我科做正常体检保健的双胎儿按同卵双胎儿、同性别异卵双胎儿分为两组,同卵双胎儿59对,...目的了解同卵双胎儿与同性别异卵双胎儿超声骨密度值(speed of sound,SOS值)同一性的差异,为人骨密度与基因的相关性提供依据。方法将2010-2013年来我科做正常体检保健的双胎儿按同卵双胎儿、同性别异卵双胎儿分为两组,同卵双胎儿59对,同性别异卵双胎儿78对。分别对2组小儿做骨密度检测,并对2组间SOS差值的差异进行统计学分析。结果同卵双胎儿的SOS值差较同性别异卵双胎儿SOS值差小(P=0.0029)。同异卵两组SOS差值散点图差异的比较显示,同性别异卵组差值分散度明显大于同卵组(P=0.0026)。结论同卵双胎儿的骨密度值更接近,而同性别异卵双胎儿间骨密度值差异较大,提示人的骨密度值与基因相关。展开更多
The present work presents a statistical method to translate human voices across age groups,based on commonalities in voices of blood relations.The age-translated voices have been naturalized extracting the blood relat...The present work presents a statistical method to translate human voices across age groups,based on commonalities in voices of blood relations.The age-translated voices have been naturalized extracting the blood relation features e.g.,pitch,duration,energy,using Mel Frequency Cepstrum Coefficients(MFCC),for social compatibility of the voice-impaired.The system has been demonstrated using standard English and an Indian language.The voice samples for resynthesis were derived from 12 families,with member ages ranging from 8–80 years.The voice-age translation,performed using the Pitch synchronous overlap and add(PSOLA)approach,by modulation of extracted voice features,was validated by perception test.The translated and resynthesized voices were correlated using Linde,Buzo,Gray(LBG),and Kekre’s Fast Codebook generation(KFCG)algorithms.For translated voice targets,a strong(θ>∼93%andθ>∼96%)correlation was found with blood relatives,whereas,a weak(θ<∼78%andθ<∼80%)correlation range was found between different families and different gender from same families.The study further subcategorized the sampling and synthesis of the voices into similar or dissimilar gender groups,using a support vector machine(SVM)choosing between available voice samples.Finally,∼96%,∼93%,and∼94%accuracies were obtained in the identification of the gender of the voice sample,the age group samples,and the correlation between the original and converted voice samples,respectively.The results obtained were close to the natural voice sample features and are envisaged to facilitate a near-natural voice for speech-impaired easily.展开更多
文摘目的了解同卵双胎儿与同性别异卵双胎儿超声骨密度值(speed of sound,SOS值)同一性的差异,为人骨密度与基因的相关性提供依据。方法将2010-2013年来我科做正常体检保健的双胎儿按同卵双胎儿、同性别异卵双胎儿分为两组,同卵双胎儿59对,同性别异卵双胎儿78对。分别对2组小儿做骨密度检测,并对2组间SOS差值的差异进行统计学分析。结果同卵双胎儿的SOS值差较同性别异卵双胎儿SOS值差小(P=0.0029)。同异卵两组SOS差值散点图差异的比较显示,同性别异卵组差值分散度明显大于同卵组(P=0.0026)。结论同卵双胎儿的骨密度值更接近,而同性别异卵双胎儿间骨密度值差异较大,提示人的骨密度值与基因相关。
基金The authors would like to acknowledge the Ministry of Electronics and Information Technology(MeitY),Government of India for financial support through the scholarship for Palli Padmini,during research work through Visvesvaraya Ph.D.Scheme for Electronics and IT.
文摘The present work presents a statistical method to translate human voices across age groups,based on commonalities in voices of blood relations.The age-translated voices have been naturalized extracting the blood relation features e.g.,pitch,duration,energy,using Mel Frequency Cepstrum Coefficients(MFCC),for social compatibility of the voice-impaired.The system has been demonstrated using standard English and an Indian language.The voice samples for resynthesis were derived from 12 families,with member ages ranging from 8–80 years.The voice-age translation,performed using the Pitch synchronous overlap and add(PSOLA)approach,by modulation of extracted voice features,was validated by perception test.The translated and resynthesized voices were correlated using Linde,Buzo,Gray(LBG),and Kekre’s Fast Codebook generation(KFCG)algorithms.For translated voice targets,a strong(θ>∼93%andθ>∼96%)correlation was found with blood relatives,whereas,a weak(θ<∼78%andθ<∼80%)correlation range was found between different families and different gender from same families.The study further subcategorized the sampling and synthesis of the voices into similar or dissimilar gender groups,using a support vector machine(SVM)choosing between available voice samples.Finally,∼96%,∼93%,and∼94%accuracies were obtained in the identification of the gender of the voice sample,the age group samples,and the correlation between the original and converted voice samples,respectively.The results obtained were close to the natural voice sample features and are envisaged to facilitate a near-natural voice for speech-impaired easily.
