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On the importance of power compression and phase estimation in monaural speech dereverberation

Andong Li, Chengshi Zheng, Renhua Peng, Xiaodong Li

2021JASA Express Letters95 citationsDOIOpen Access PDF

Abstract

Previous studies have shown the importance of introducing power compression on both feature and target when only the magnitude is considered in the dereverberation task. When both real and imaginary components are estimated without power compression, it has been shown that it is important to take magnitude constraint into account. In this paper, both power compression and phase estimation are considered to show their equal importance in the dereverberation task, where we propose to reconstruct the compressed real and imaginary components (cRI) for training. Both objective and subjective results reveal that better dereverberation can be achieved when using cRI.

Topics & Concepts

Compression (physics)Computer scienceMonauralTask (project management)Constraint (computer-aided design)Magnitude (astronomy)Power (physics)Phase (matter)Speech recognitionFeature (linguistics)MathematicsEngineeringPhysicsGeometryLinguisticsPhilosophyThermodynamicsSystems engineeringQuantum mechanicsAstronomySpeech and Audio ProcessingAdvanced Adaptive Filtering TechniquesSpeech Recognition and Synthesis
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