深谋远虑 发表于 2025-3-21 18:28:37
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Single Microphone Blind Audio Source Separation Using EM-Kalman Filter and Short+Long Term AR Modeli) of voiced speech signal are modeled and a linear state space model with unknown parameters is derived. The Expectation Maximization (EM) algorithm is used to estimate these unknown parameters and therefore help source separation.ARENA 发表于 2025-3-22 15:21:52
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Speech Separation via Parallel Factor Analysis of Cross-Frequency Covariance Tensorriance tensor, and thus could be used to align the permutations of the estimates in all the PARAFAC decompositions. In addition, the issue of identifiability is addressed, and simulations with synthetic speech signals are provided to verify the efficacy of the proposed method.MIME 发表于 2025-3-22 22:18:16
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Conference proceedings 2010. Malo, France, in September 2010..The 25 papers presented were carefully reviewed and selected from over hundred submissions. The papers collected in this volume demonstrate that the research activity in the field continues to gather theoreticians and practitioners, with contributions ranging range