Suppressing cocktail party noise for speech acquisition

A novel and improved iterative speech enhancement approach is presented to suppress the undesired speech or noise in cocktail party environments. The key idea in the proposed approach is that a difference phase-correlation-based criterion function (PCF) is introduced to work as the convergence contr...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Kai Yu, Boling Xu, Mingyang Dai, Chongzhi Yu
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Acoustics Adaptive filters Artificial neural networks Convergence Interference Iterative methods Signal to noise ratio Speech enhancement Wiener filter Working environment noise
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