{"id":158048,"date":"2009-08-17T00:00:00","date_gmt":"2009-08-17T00:00:00","guid":{"rendered":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/msr-research-item\/a-tutorial-style-introduction-to-subspace-gaussian-mixture-models-for-speech-recognition\/"},"modified":"2018-10-16T19:57:09","modified_gmt":"2018-10-17T02:57:09","slug":"a-tutorial-style-introduction-to-subspace-gaussian-mixture-models-for-speech-recognition","status":"publish","type":"msr-research-item","link":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/publication\/a-tutorial-style-introduction-to-subspace-gaussian-mixture-models-for-speech-recognition\/","title":{"rendered":"A Tutorial-style Introduction to Subspace Gaussian Mixture Models for Speech Recognition"},"content":{"rendered":"<div class=\"asset-content\">\n<p>This is an in-depth, tutorial-style introduction to the techniques involved in training a factor analyzed style of speech recognition system. Algorithms are explained in detail, with an emphasis on the how-to rather than the derivations. The recipe described here is both an extension to and a special case of the prior work we have done. Changes include a simplification of the procedure used to initialize these models, the introduction of \u201csub-models\u201d which saves memory and may have modeling advantages, an extended approach to factor based speaker adaptation that uses the sub-models, and a mechanism to estimate a subspace-constrained version of Constrained MLLR transforms in this framework.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>This is an in-depth, tutorial-style introduction to the techniques involved in training a factor analyzed style of speech recognition system. Algorithms are explained in detail, with an emphasis on the how-to rather than the derivations. The recipe described here is both an extension to and a special case of the prior work we have done. 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