Microphone Classification Using Canonical Correlation Analysis

Jongwon SEOK; Keunsung BAE

doi:10.1587/transfun.E97.A.1024

Abstract

Canonical correlation analysis (CCA) is applied to extract features for microphone classification. We utilized the coherence between near-silence regions. Experimental results show the promise of canonical correlation features for microphone classification.

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