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Audio index is an important part of NIST-RT-SD evaluation since 2003. Speaker Diarization is one kind of audio index technology which is marked by different speakers. One essential component of speaker diarization is speaker clustering which is always the pre-processing of speech recognition. The general method is to extract acoustic feature such as LPCC or MFCC and achieve some model such as HMM...
In this paper, we describe two approaches for language identification (LID) using support vector machines (SVM) and phonetic n-gram. One is to use the language model scores of phone sequences to do SVM training. The other is to use the n-gram probabilities of those phones to train SVM models. For the second approach, we propose a new effective normalization method. In the experiments of 30 s test...
This paper reports an approach to language identification (LID) system fusion using discriminative training. Maximum mutual information (MMI) training for Gaussian mixture model is introduced to the standard LDA-GMM fusion framework. Experimental results show that the proposed fusion scheme outperforms the maximum likelihood (ML) trained backend of LID system. The impact of number of Gaussian mixtures...
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