I-vector based speaker gender recognition

  title={I-vector based speaker gender recognition},
  author={Minghe Wang and Ying Chen and Zhenmin Tang and Erhua Zhang},
  journal={2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)},
Automatic gender recognition has been becoming very important in potential applications. Many state-of-the-art gender recognition approaches based on a variety of biometrics, such as face, body shape, voice, are proposed recently. Among them, relying on voice is suboptimal due to significant variations in pitch, emotion, and noise in real-world speech. Inspired from the speaker recognition approaches relying on i-vector presentation in NIST SRE, it's believed that i-vector contains information… CONTINUE READING


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