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acoustic features

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Feb 19, 2020 · Artificial Intelligence

Voiceprint-Based Gender Recognition Using GMM‑UBM and i‑Vector Modeling for 400‑Call Center Audio

This article presents a complete voiceprint gender identification pipeline for 400‑call center recordings, detailing acoustic feature extraction, GMM‑UBM training, Joint Factor Analysis, i‑vector extraction, and logistic regression classification, achieving a reported accuracy of 97.8%.

GMM-UBMacoustic featuresgender recognition
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Voiceprint-Based Gender Recognition Using GMM‑UBM and i‑Vector Modeling for 400‑Call Center Audio