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An Efficient Reference Free Adaptive Learning Process for Speech Enhancement Applications 被引量:1
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作者 Girika Jyoshna Md.Zia Ur Rahman L.Koteswararao 《Computers, Materials & Continua》 SCIE EI 2022年第2期3067-3080,共14页
In issues like hearing impairment,speech therapy and hearing aids play a major role in reducing the impairment.Removal of noise signals from speech signals is a key task in hearing aids as well as in speech therapy.Du... In issues like hearing impairment,speech therapy and hearing aids play a major role in reducing the impairment.Removal of noise signals from speech signals is a key task in hearing aids as well as in speech therapy.During the transmission of speech signals,several noise components contaminate the actual speech components.This paper addresses a new adaptive speech enhancement(ASE)method based on a modified version of singular spectrum analysis(MSSA).The MSSA generates a reference signal for ASE and makes the ASE is free from feeding reference component.The MSSA adopts three key steps for generating the reference from the contaminated speech only.These are decomposition,grouping and reconstruction.The generated reference is taken as a reference for variable size adaptive learning algorithms.In this work two categories of adaptive learning algorithms are used.They are step variable adaptive learning(SVAL)algorithm and time variable step size adaptive learning(TVAL).Further,sign regressor function is applied to adaptive learning algorithms to reduce the computational complexity of the proposed adaptive learning algorithms.The performance measures of the proposed schemes are calculated in terms of signal to noise ratio improvement(SNRI),excess mean square error(EMSE)and misadjustment(MSD).For cockpit noise these measures are found to be 29.2850,-27.6060 and 0.0758 dB respectively during the experiments using SVAL algorithm.By considering the reduced number of multiplications the sign regressor version of SVAL based ASE method is found to better then the counter parts. 展开更多
关键词 Adaptive algorithm speech enhancement singular spectrum analysis reference free noise canceller variable step size
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All-optical pseudo noise sequence generator using a micro-ring resonator
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作者 Rajiv KUMAR Ajay KUMAR +1 位作者 Poonam SINGH Niranjan KUMAR 《Frontiers of Optoelectronics》 EI CSCD 2021年第3期365-373,共9页
A scheme for the generation of a pseudo noise(PN)sequence in the optical domain is proposed.The cascaded units of micro-ring resonator(MRR)-based D flip-flop are used to design the device.D flip-flops consist of a sin... A scheme for the generation of a pseudo noise(PN)sequence in the optical domain is proposed.The cascaded units of micro-ring resonator(MRR)-based D flip-flop are used to design the device.D flip-flops consist of a single MRR and share the same optical pump signal.Numerical analysis is performed,and simulated results are discussed.The proposed device can be used as a building block for optical computing and for creating an information processing system. 展开更多
关键词 ALL-OPTICAL D flip-flop micro-ring resonator(MRR) optical communication pseudo noise(PN)sequence
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