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Single Channel Speech Enhancement Using Complex Kalman Filter in Noisy Reverberant Environments
2018
Proceedings of the 11th EAI International Conference on Mobile Multimedia Communications
unpublished
The previous research has proved that restoring the instantaneous amplitude and phase individually by linear prediction with Kalman filter on Gammatone filterbank could improve quality and intelligibility of noisy reverberant speech significantly. However, this method still suffers from the double prediction errors caused by the separated estimation for instantaneous amplitude and phase. This paper aims to study feasibility for restoring both instantaneous amplitude and phase simultaneously by
doi:10.4108/eai.21-6-2018.2276600
fatcat:6o2yrs7nfva5rgkesc5xbjor2y