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HomeTech

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-UBMMachine Learningacoustic features

0 likes · 11 min read

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

Alibaba Cloud Infrastructure

Dec 17, 2016 · Artificial Intelligence

Understanding Voiceprint Recognition: Principles, Techniques, and Applications

The article explains voiceprint (speaker) recognition technology, covering its biological basis, 1:1 verification versus 1:N identification, content‑related versus content‑independent approaches, key acoustic features such as MFCC, the iVector framework, system workflow diagrams, and its use in an Alibaba security challenge.

Machine Learningartificial intelligencebiometrics

0 likes · 10 min read

Understanding Voiceprint Recognition: Principles, Techniques, and Applications