Application of Classical Adaptive Filters in Speech Enhancement
عنوان مقاله: Application of Classical Adaptive Filters in Speech Enhancement
شناسه ملی مقاله: ISCEE09_036
منتشر شده در نهمین کنفرانس دانشجویی مهندسی برق در سال 1385
شناسه ملی مقاله: ISCEE09_036
منتشر شده در نهمین کنفرانس دانشجویی مهندسی برق در سال 1385
مشخصات نویسندگان مقاله:
Mohammad Shams Esfand Abadi - Department of Electrical Engineering, Tarbiat Modares University, Tehran, Iran، Department of Electrical Engineering, Shahid Rajaee Teachers Training University, Tehran, Iran
Hossein Sirousi - Department of Electrical Engineering, Shahid Rajaee Teachers Training University, Tehran, Iran
خلاصه مقاله:
Mohammad Shams Esfand Abadi - Department of Electrical Engineering, Tarbiat Modares University, Tehran, Iran، Department of Electrical Engineering, Shahid Rajaee Teachers Training University, Tehran, Iran
Hossein Sirousi - Department of Electrical Engineering, Shahid Rajaee Teachers Training University, Tehran, Iran
In many applications of noise cancellation the changes in signal characteristics could be quite fast. This requires the utilization of adaptive
algorithms, which converge rapidly. Least mean square (LMS) and Normalized LMS (NLMS) adaptive filters have been used in a wide range of signal processing applications because of its simplicity in computation and implementation. The Recursive Least Squares (RLS) algorithm has established itself as the “ultimate” adaptive filtering algorithm in the sense that it is the adaptive filter exhibiting the best convergence behavior. Unfortunately, practical implementations of this algorithm are often associated with high computational complexity and/or poor numerical
properties. In this paper we have performed and compared these classical adaptive filters for attenuating noise in speech signals. In each algorithm, the optimum order of filter of adaptive algorithms have also been found through experiments.
کلمات کلیدی: Adaptive Filter, Least Mean Squares, Recursive Least Squares, Noise Cancellation
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/48567/