Speaker change detection in casual conversations using excitation source features

  • Authors:
  • N. Dhananjaya;B. Yegnanarayana

  • Affiliations:
  • Indian Institute of Technology Madras, Chennai, India;International Institute of Information Technology, Hyderabad, India

  • Venue:
  • Speech Communication
  • Year:
  • 2008

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Abstract

In this paper we propose a method for speaker change detection using features of excitation source of the speech production mechanism. The method uses neural network models to capture the speaker-specific information from a signal that represents predominantly the excitation source. The focus in this paper is on speaker change detection in casual telephone conversations, in which short (