通信学报Issue(2)：87-94,8.DOI:10.3969/j.issn.1000-436x.2014.02.012
基于多任务稀疏表达的二元麦克风小阵列话音增强算法
Speech enhancement based on multi-task sparse representation for dual small microphone arrays
摘要
Abstract
Speech enhancement algorithms for dual small microphone arrays usually rely on the voice activity detec-tion(VAD), and they may fail in some cases when target speech signal is included in the first frame. A multi-task sparse representation based speech enhancement algorithm was proposed. First, dictionaries for signal and noise were respec-tively formed via dictionary learning. Then the noise in signals obtain from two microphones was reduced by2/1 regu-larized sparse representation on the over-complete dictionary, while the target speech signals were mostly preserved, hence the speech signals were enhanced. Experimental results from synthetic and real-world data show that the proposed speech enhancement algorithm without VAD works well in all cases no matter speech signal is included in the first frame or not.关键词
麦克风小阵列/话音增强/字典学习/多任务稀疏表达Key words
small microphone arrays/speech enhancement/dictionary learning/multi-task sparse representation分类
信息技术与安全科学引用本文复制引用
杨立春,叶敏超,钱沄涛..基于多任务稀疏表达的二元麦克风小阵列话音增强算法[J].通信学报,2014,(2):87-94,8.基金项目
国家自然科学基金资助项目（61171151）；国家重点基础研究发展计划（“973”计划）基金资助项目（2012CB316400）；国家科技支撑计划基金资助项目（2011BAD24B03）Foundation Items:The National Natural Science Foundation of China (61171151) （61171151）
The National Basic Research Program of China (973 Program)(2012CB316400) （973 Program）
The National Key Technology R&D Program of China (2011BAD24B03) （2011BAD24B03）
