出版社：Electronics and Telecommunications Research Institute
摘要：An incremental subspace learning scheme to recover lost speech segments online is presented. Our contributions in this work are twofold. First, the recovery problem is transformed into an interpolation problem of the time-varying gains via nonnegative matrix factorization. Second, incremental nonnegative matrix factorization is employed to allow online processing and track the evolution of speech statistics. The effectiveness of the proposed scheme is confirmed by the experiment results.
关键词：Packet loss concealment (PLC);nonnegative matrix factorization (NMF);incremental subspace learning
