数据采集与处理Issue(2)：275-288,14.DOI:10.16337/j.1004-9037.2015.02.005
语音压缩感知研究进展与展望
Compressed Speech Sensing for Research Progress and Prospect
摘要
Abstract
Compressed sensing technology,especially the compressed speech sensing technology has grad-ually become the research hotspot in signal processing.The currently key issues of compressed speech sensing include the construction of the sparse decomposition matrix,the selection of the measurement matrix and the design of the reconstruction algorithm for speech signal.The important representatives of sparse decomposition matrix are the orthogonal basis,linear prediction matrix based on speech character-istics and overcomplete dictionary.For measurement matrix,the performance of reconstructed speech signals based on random measurement matrix is analyzed.For reconstruction algorithm,the robust re-construction algorithms with noisy measurement or noisy speech signal are researched.In the paper,the above three kinds of compressed speech sensing technologies are introduced and compared,and the main applications of compressed speech sensing are also provided.Finally,the possible future research points of compressed speech sensing are discussed.关键词
压缩感知/语音压缩感知/稀疏表示/观测矩阵/自适应重构Key words
compressed sensing/compressed speech sensing/sparse representation/measurement ma-trix/adaptive reconstruction分类
信息技术与安全科学引用本文复制引用
孙林慧,杨震..语音压缩感知研究进展与展望[J].数据采集与处理,2015,(2):275-288,14.基金项目
国家自然科学基金(61271335,61201326)资助项目 （61271335,61201326）
江苏省自然科学基金(BK20140891)资助项目 （BK20140891）
江苏省高校自然科学研究面上项目(13KJB510020)资助项目 （13KJB510020）
南京邮电大学校科研基金(NY214038)资助项目。 （NY214038）
