電機系 謝景棠 教授於
Speech Enhancement based on Sparse Representation under Color Noisy Environment
：Speech Enhancement based on Sparse Representation under Color Noisy Environment會議論文Speech Enhancement based on Sparse Representation under Color Noisy EnvironmentChing-Tang Hsieh, Piao-Yu Huang, Ting-Wen Chen, Yan-heng ChenSpeech enhancement, sparse representations, K-SVD, discrete cosine transform (DCT), orthogonal matching pursuit (OMP)International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2015. pp.134-138.Recently, sparse algorithm for signal enhancement is more and more popular issues. In this paper, we apply it to enhance speech signal. The process of sparse theory is classified into two parts, one is for dictionary training part and the other is signal reconstruction part. We focus environment on both white Gaussian noise and color noise filtering based on sparse. The orthogonal matching pursuit (OMP) algorithm is used to optimize the sparse coefficients X of clean speech dictionary, where clean speech dictionary is trained by K-SVD algorithm.