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EURASIP Journal on Audio, Speech, and Music Processing
Fig. 1 | EURASIP Journal on Audio, Speech, and Music Processing

Fig. 1

From: Robustness of ad hoc microphone clustering using speaker embeddings: evaluation under realistic and challenging scenarios

Fig. 1

Scheme for clustering and cluster based source separation. Features (either Mod-MFCCs or speaker embeddings) extracted from the microphone signals are used to cluster the microphones. Inter- and intra-cluster information is then exploited to extract the sources dominant in each speech cluster. Yellow blocks indicate stages at which speaker separation can be performed — and which we use for evaluation. These consist of initial masking, delay and sum beamforming (DSB), fuzzy membership value aware DSB (FMVA-DSB) and postfiltering one of the DSB outputs. The dotted box is a condition that is not included in the tabulated results

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