This paper provides an overview of Gaussian Mixture Model (GMM) and its component of speech signal. During the earlier period it has been revealed that Gaussian Mixture Model is very much appropriate for voice modeling in speaker recognition system. For Speaker recognition, Gaussian mixture model is an essential appliance of statistical clustering. The task effortlessly performed by humans is not effortless for machine or computers such as voice recognition or face recognition so for this function speaker recognition technology makes available a solution, using this technology the computers/machines outperforms than humans
Despite intuitive expectation and experimental evidence that phonemes contain useful speaker discrim...
This paper describes a speaker recognition system based on feature extraction utilizing the constrai...
We describe an acoustic modeling approach in which all phonetic states share a common Gaussian Mixtu...
In this paper,features for text-independent speaker recognition has been evaluated. Speaker identifi...
Speaker recognition is a biometric operation of accepting a claimed person based on analyzing his sp...
Automatic speaker recognition system identifies a person from the information contained in the speec...
This chapter describes anchor model-based speaker recognition with phonetic modeling. Gaussian Mixtu...
We describe a new approach to speech recognition, in which all Hidden Markov Model (HMM) states shar...
We describe an acoustic modeling approach in which all phonetic states share a common Gaussian Mixtu...
We describe an acoustic modeling approach in which all phonetic states share a common Gaussian Mixtu...
This report givens an overview of a Gaussian Mixture Model – Universal Background Model (GMM-UBM) sy...
This paper investigates the task of SR (Speaker Recognition) for the state-of-the-art techniques. Th...
A fuzzy clustering based modification of Gaussian mixture models (GMMs) for speaker recognition is p...
Abstract. Gaussian mixture model (GMM) [1] has been widely used for modeling speakers. In speaker id...
In this paper, methods of Gaussian Mixture Model (GMM) are presented for both silence/voiced/voicele...
Despite intuitive expectation and experimental evidence that phonemes contain useful speaker discrim...
This paper describes a speaker recognition system based on feature extraction utilizing the constrai...
We describe an acoustic modeling approach in which all phonetic states share a common Gaussian Mixtu...
In this paper,features for text-independent speaker recognition has been evaluated. Speaker identifi...
Speaker recognition is a biometric operation of accepting a claimed person based on analyzing his sp...
Automatic speaker recognition system identifies a person from the information contained in the speec...
This chapter describes anchor model-based speaker recognition with phonetic modeling. Gaussian Mixtu...
We describe a new approach to speech recognition, in which all Hidden Markov Model (HMM) states shar...
We describe an acoustic modeling approach in which all phonetic states share a common Gaussian Mixtu...
We describe an acoustic modeling approach in which all phonetic states share a common Gaussian Mixtu...
This report givens an overview of a Gaussian Mixture Model – Universal Background Model (GMM-UBM) sy...
This paper investigates the task of SR (Speaker Recognition) for the state-of-the-art techniques. Th...
A fuzzy clustering based modification of Gaussian mixture models (GMMs) for speaker recognition is p...
Abstract. Gaussian mixture model (GMM) [1] has been widely used for modeling speakers. In speaker id...
In this paper, methods of Gaussian Mixture Model (GMM) are presented for both silence/voiced/voicele...
Despite intuitive expectation and experimental evidence that phonemes contain useful speaker discrim...
This paper describes a speaker recognition system based on feature extraction utilizing the constrai...
We describe an acoustic modeling approach in which all phonetic states share a common Gaussian Mixtu...