TAILIEUCHUNG - Báo cáo hóa học: " Research Article Efficient Algorithm and Architecture of Critical-Band Transform for Low-Power Speech Applications"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Efficient Algorithm and Architecture of Critical-Band Transform for Low-Power Speech Applications | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2007 Article ID 89264 10 pages doi 2007 89264 Research Article Efficient Algorithm and Architecture of Critical-Band Transform for Low-Power Speech Applications Chao Wang1 2 and Woon-Seng Gan1 2 1 Center for Signal Processing School of Electrical and Electronic Engineering Nanyang Technological University Nanyang Avenue Singapore 639798 2 Digital Signal Processing Lab School of Electrical and Electronic Engineering Nanyang Technological University Nanyang Avenue Singapore 639798 Received 15 December 2005 Revised 8 December 2006 Accepted 18 January 2007 Recommended by Hugo Van Hamme An efficient algorithm and its corresponding VLSI architecture for the critical-band transform CBT are developed to approximate the critical-band filtering of the human ear. The CBT consists of a constant-bandwidth transform in the lower frequency range and a Brown constant-Q transform CQT in the higher frequency range. The corresponding VLSI architecture is proposed to achieve significant power efficiency by reducing the computational complexity using pipeline and parallel processing and applying the supply voltage scaling technique. A 21-band Bark scale CBT processor with a sampling rate of 16kHz is designed and simulated. Simulation results verily its suitability for performing short-time spectral analysis on speech. It has a better fitting on the human ear critical-band analysis significantly fewer computations and therefore is more energy-efficient than other methods. With a pm CMOS technology it calculates a 160-point speech in milliseconds at 234kHz. The power dissipation is at V. It achieves power reduction as compared to a benchmark 256-point FFT processor. Copyright 2007 C. Wang and . Gan. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium .

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