کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
559092 875048 2011 36 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
The subspace Gaussian mixture model—A structured model for speech recognition
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
پیش نمایش صفحه اول مقاله
The subspace Gaussian mixture model—A structured model for speech recognition
چکیده انگلیسی

We describe a new approach to speech recognition, in which all Hidden Markov Model (HMM) states share the same Gaussian Mixture Model (GMM) structure with the same number of Gaussians in each state. The model is defined by vectors associated with each state with a dimension of, say, 50, together with a global mapping from this vector space to the space of parameters of the GMM. This model appears to give better results than a conventional model, and the extra structure offers many new opportunities for modeling innovations while maintaining compatibility with most standard techniques.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computer Speech & Language - Volume 25, Issue 2, April 2011, Pages 404–439
نویسندگان
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