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A Speaker Diarization System with Robust Speaker Localization and Voice Activity Detection

  • Yangyang Huang
  • Takuma Otsuka
  • Hiroshi G. Okuno
Part of the Studies in Computational Intelligence book series (SCI, volume 489)

Abstract

In real-world auditory scene analysis of human-robot interactions, three types of information are essential and need to be extracted from the observation data – who speaks when and where. We present a speaker diarization system that is used to accomplish the resolution. Multiple signal classification (MUSIC) is a powerful method for voice activity detection (VAD) and direction of arrival (DOA) estimation. We propose our system and compare its performance in VAD and DOA with the method based on MUSIC algorithm.

Keywords

Ground Truth Sound Source Audio Signal Blind Source Separation Free Speech 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • Yangyang Huang
    • 1
  • Takuma Otsuka
    • 1
  • Hiroshi G. Okuno
    • 1
  1. 1.Graduate School of InformaticsKyoto UniversityKyotoJapan

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