CAJ | 학술논문

本文讨论的语声信息恢复旨在提高带噪语声的可懂度。通过类比听觉掩蔽与视觉闭塞，在基于稀疏表示的图像去噪思想启发下，本文提出了基于压缩感知理论的稀疏表示语声恢复模型、数学表达式以及算法。与传统的语声增强算法不同，本文模型与算法的特点在于具备有效消除全局噪声干扰和恢复局部被噪声掩蔽的语声成分的双重能力，有效提高了处理后语声的可懂度。仿真实验和客观语声质量测度验证了提出的模型与算法的可行性、有效性以及优越性。
본문토론적어성신식회복지재제고대조어성적가동도。통과류비은각엄폐여시각폐새，재기우희소표시적도상거조사상계발하，본문제출료기우압축감지이론적희소표시어성회복모형、수학표체식이급산법。여전통적어성증강산법불동，본문모형여산법적특점재우구비유효소제전국조성간우화회복국부피조성엄폐적어성성분적쌍중능력，유효제고료처리후어성적가동도。방진실험화객관어성질량측도험증료제출적모형여산법적가행성、유효성이급우월성。
The speech recovery discussed by this paper aims at improving the intelligibility of noisy speech.By compa-ring of auditory masking and vision occlusion and inspired by image denoising idea base on sparse representation,this paper proposes a speech recovery model over sparse representation based on compressive sensing theory,its mathematical expres-sion and the algorithm.Different from traditional speech enhancement algorithms,the superiority of this model and algo-rithm lies in its twofold ability of effectively eliminating global noise interference and recovering local incomplete speech components masked by noise interference,which improves the intelligibility of processed speech.Simulation experiments and objective speech quality measures verify that the proposed model and algorithm are feasible,effective and superior.