Leveraging Frequency-Dependent Kernel and DIP-Based Clustering for Robust Speech Activity Detection in Naturalistic Audio Streams
IEEE/ACM Transactions on Audio Speech and Language Processing（2018）
关键词
Clustering,DARPA RATS,frequency-dependent kernel,Hartigan dip test,peer-led team learning,speech activity detection,NIST OpenSAD,NIST OpenSAT
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