Michael Schmidt

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The problem of clustering speakers by their voices is addressed. With the mushrooming of available speech data from television broadcasts to voice mail, automatic systems for archive retrieval, organizing and labeling by speaker are necessary. Clustering conversations by speaker is a solution to all three of the above tasks. Another application for speaker(More)
New methods for speaker veriication that address the problems of limited training data and unknown telephone channel are presented. We describe a system for studying the feasibility of telephone based voice signatures for electronic documents that uses speaker veriication with a xed test phrase but very limited data for training speaker models. We examine(More)
A n o v el approach to scoring Gaussian mixture models is presented. Feature vectors are assigned to the individual Gaussians making up the model and log-likelihoods of the separate Gaussians are computed and summed. Furthermore, the log-likelihoods of the individual Gaussians can be decomposed into sample weight, mean, and covariance log-likelihoods.(More)
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