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Satyanand Singh
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Bayesian distance metric learning and its application in automatic speaker recognition systems
Article
Journal
oleh
Satyanand
Singh
Terbitan:
2019
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High level speaker specific features as an efficiency enhancing parameters in speaker recognition system
Article
oleh
Satyanand
Singh
Terbitan:
2019
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High level speaker specific features modeling in automatic speaker recognition system
Article
oleh
Satyanand
Singh
,
Pragya Singh
Terbitan:
2020
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Speaker specific feature based clustering and its applications in language independent forensic speaker recognition
Article
eJournal
oleh
Satyanand
Singh
,
Pragya Singh
Terbitan:
2020
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Kernal based speaker specific feature extraction and its applications in iTaukei cross language speaker recognition
Article
Journal
oleh
Satyanand
Singh
,
Pragya Singh2
Terbitan:
2020
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Visualizing Calculus by Way of Maple : an Emphasis on Problem Solving
Book
oleh
Taraporevala, Arnavaz
,
Benakli, Nadia
,
Singh, Satyanand
Terbitan:
McGraw-Hill, 2012
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Related Subjects
Automatic speaker recognition (ASR)
Gaussian mixer model (GMM)
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515
515.1 Arn v
515.15
Alternative dunn index (ADI)
Automatic speaker recognition (ASR)
Automatic speaker recognition system
Calculus
Classification entropy (CE)
Confidence measure (CM)
Deep neural networks (DNN)
Dunn index (DI)
Extreme learning machine (ELM)
Fuzzy maximum likelihood (FML)
Hidden markov model (HMM)
Kalkulus
Kernel independent component analysis
Kernel linear discriminant analysis
Kernel principal component analysis
Language recognition evaluation (LRE)
Linear discriminant analysis (LDA)
Linear discrimination analysis (LDA)
Maple (Computer file)
Mel-frequency cepstral coefficients (MFCC)
Neighborhood component analysis (NCA)
Partition coefficient (PC)
Partition index (SC)
Phone recognition and language modelling (PRLM)
Principal component analysis
Separation index(S)
Singh Styanand
Support vector machines (SVM)
Universal background model (UBM)
Xie and Beni index (XB)
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