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

ICASSP, pp. 5234-5238, 2018.

Cited by: 15|Views37
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Abstract:

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

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