Automatic Call Quality Monitoring Using Cost-Sensitive Classification

Abstract

In this paper, we propose advanced text analytics and costsensitive classification-based approaches for call quality monitoring and show that automatic quality monitoring with ASR transcripts can be achieved with a high accuracy. Our system analyzes ASR transcripts and determines if a call is a good call or a bad call. The set of features were identified… (More)

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