A Novel LSTM-Based Speech Preprocessor for Speaker Diarization in Realistic Mismatch Conditions

In this study, we investigate on the effects of deep learning based speech enhancement as a preprocessor to speaker diarization in quite challenging realistic environments involving the background noises, reverberations and overlapping speech. To improve the generalization capability, the advanced long short-term memory (LSTM) architectur...More