ETRI Journal

  • 제31권4호
  • /
  • Pages.451-453
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  • 2009
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  • 1225-6463(pISSN)
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  • 2233-7326(eISSN)
한국전자통신연구원 (Electronics and Telecommunications Research Institute)
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Robust Voice Activity Detection Using the Spectral Peaks of Vowel Sounds

  • Yoo, In-Chul (Speech Information Processing Laboratory, Department of Computer and Communication Engineering, Korea University) ;
  • Yook, Dong-Suk (Speech Information Processing Laboratory, Department of Computer and Communication Engineering, Korea University)
  • 투고 : 2009.03.05
  • 심사 : 2009.06.15
  • 발행 : 2009.08.30
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초록

This letter proposes the use of vowel sound detection for voice activity detection. Vowels have distinctive spectral peaks. These are likely to remain higher than their surroundings even after severe corruption. Therefore, by developing a method of detecting the spectral peaks of vowel sounds in corrupted signals, voice activity can be detected as well even in low signal-to-noise ratio (SNR) conditions. Experimental results indicate that the proposed algorithm performs reliably under various noise and low SNR conditions. This method is suitable for mobile environments where the characteristics of noise may not be known in advance.

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참고문헌

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피인용 문헌

  1. Speaker localization in noisy environments using steered response voice power vol.61, pp.1, 2009, https://doi.org/10.1109/tce.2015.7064118
  2. Formant-Based Robust Voice Activity Detection vol.23, pp.12, 2009, https://doi.org/10.1109/taslp.2015.2476762
  3. Harmonic-Based Robust Voice Activity Detection for Enhanced Low SNR Noisy Speech Recognition System vol.ea99, pp.11, 2016, https://doi.org/10.1587/transfun.e99.a.1928
  4. Voice Activity Detection Using an Adaptive Context Attention Model vol.25, pp.8, 2009, https://doi.org/10.1109/lsp.2018.2811740
  5. Efficient harmonic peak detection of vowel sounds for enhanced voice activity detection vol.12, pp.8, 2009, https://doi.org/10.1049/iet-spr.2017.0553