کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
564812 875648 2007 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A composite signal subspace speech classifier
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
پیش نمایش صفحه اول مقاله
A composite signal subspace speech classifier
چکیده انگلیسی

Recently, a speech model inspired by signal subspace methods was proposed for a speech classifier. In using subspace information to characterize the speech signal, subspace trajectories in the form of the right singular vectors of the measurement matrices are obtained. Signal classification is thereafter accomplished by a minimum-distance rule with noteworthy results. This paper extends the foregoing approach by organizing the vector trajectories into matrices. The matrices so obtained are the reduced-rank approximation of the sample correlation matrices. A new dissimilarity measure in the Frobenius norm is correspondingly proposed for the matrix trajectories. Simulation results of the proposed composite signal subspace classifier in an isolated digit speech recognition problem reveal an improved performance over its predecessor. Additionally, the results also show the proposed classifier retaining the white noise robustness of the original design.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Signal Processing - Volume 87, Issue 11, November 2007, Pages 2600–2606
نویسندگان
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