Speaker Recognition using keyword Hidden Markov Models and Support vector machines

Speaker Independent Speech Recognition Using Hidden Markov Models for Persian Isolated Words

Speaker Independent Speech Recognition Using Hidden Markov Models for Persian Isolated Words

Word-conditioned HMM supervectors for speaker recognition

We improve upon the current Hidden Markov Model (HMM) techniques for speaker recognition by using the means of Gaussian mixture components of keyword HMM states in a support vector machine (SVM) classifier. We achieve an 11% improvement over the traditional keyword HMM approach on SRE06 for the 8 conversation task, using the original set of keywords. Using an expanded set of keywords, we achiev...

Recognition and Rejection Performance in Wordspotting Systems Using Support Vector Machines

Support Vector Machines (SVM) is one such machine learning technique that learns the decision surface through a process of discrimination and has a good generalization capacity [6]. SVMs have been proven to be successful classifiers on several classical pattern recogntion problems [9, 11]. In this paper, one of the first applications of Support Vector Machines (SVM) technique for the problem of...

Exploiting Support Vector Machines for Speaker Verifi

Hidden Markov Models have been proved to be an efficient way for statistically modeling sequence signals. And the Support Vector Machines seem to be a promising candidate to perform the classification task. A new method combining support vector machine and hidden Markov models is proposed. The output of support vector machines are modified as posterior probability using sigmoid function, and ac...