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Speaker Verification Using Orthogonal GMM with Fusion of Threshold,Identification Front-end,and UBM
Speaker Verification Orthogonal GMM Fusion of Threshold Identification Front-end UBM
2015/9/29
This paper shows that the performance of a Gaussian Mixture Model using a Universal Background Model (GMM-UBM) speaker verification (SV) system can be further improved by combining it with threshold a...
昆虫的运动、 取食、 鸣叫都会发出声音， 这些声音存在种内相似性和种间差异性， 因此可用来识别昆虫的种类。基于昆虫声音的昆虫种类自动检测技术对协助农业和林业从业人员方便地识别昆虫种类非常有意义。本研究采用了语音识别领域里的声音参数化技术来实现昆虫的声音自动鉴别。声音样本经预处理后， 提取梅尔倒谱系数（Melfrequency cepstrum coefficient, MFCC）作为特征， 并用...
Semiparametric Efficiency of GMM under Approximate Constraints
Semiparametric Efficiency GMM Approximate Constraints
2010/11/24
Generalized empirical likelihood and generalized method of moments are well spread methods of resolution of inverse problems in econometrics. Each method defines a specific semiparametric model for w...