Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: It has been widely recognized that conventional techniques and algorithms for speech enhancement indicate severe performance degradation when operated in a very harsh noise environment. In recent years, linear and nonlinear adaptive noise cancellers (ANC) have been developed for speech denoising, which use both bone- and air-conducted speech signals simultaneously to improve the enhancement quality. ,  propose a nonlinear ANC which consists of a linear FIR filter and a nonlinear filter based on a generalized functional link artificial neural network (FLANN, GFLANN). Both filters are equipped in a parallel form. The proposed ANC is applied to real bone- and air-conducted speech measurements. It is revealed by extensive simulations that the proposed ANC is capable of recovering the high-frequency components of the speech signal even in a very noisy situation, and outperforms its counterparts that use the FIR filter, Volterra filter, and FLANN.
['Ran Xiao', 'Yegui Xiao', 'Hongyun Wei', 'Koji Hasegawa']
I am writing a research paper on a idea Speech enhancement using bone- and air-conducted signals and adaptive GFLANN filter
[{"from": "human", "value": "I am writing a research paper on a idea Speech enhancement using bone- and air-conducted signals and adaptive GFLANN filter"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: It has been widely recognized that conventional techniques and algorithms for speech enhancement indicate severe performance degradation when operated in a very harsh noise environment. In recent years, linear and nonlinear adaptive noise cancellers (ANC) have been developed for speech denoising, which use both bone- and air-conducted speech signals simultaneously to improve the enhancement quality. ,  propose a nonlinear ANC which consists of a linear FIR filter and a nonlinear filter based on a generalized functional link artificial neural network (FLANN, GFLANN). Both filters are equipped in a parallel form. The proposed ANC is applied to real bone- and air-conducted speech measurements. It is revealed by extensive simulations that the proposed ANC is capable of recovering the high-frequency components of the speech signal even in a very noisy situation, and outperforms its counterparts that use the FIR filter, Volterra filter, and FLANN."}]