Noise robust front-end processing with voice activity detection based on periodic to aperiodic component ratio

@inproceedings{Ishizuka2007NoiseRF,
  title={Noise robust front-end processing with voice activity detection based on periodic to aperiodic component ratio},
  author={Kentaro Ishizuka and Tomohiro Nakatani and Masakiyo Fujimoto and Noboru Miyazaki},
  booktitle={INTERSPEECH},
  year={2007}
}
This paper proposes a front-end processing method for automatic speech recognition (ASR) that employs a voice activity detection (VAD) method based on the periodic to aperiodic component ratio (PAR). The proposed VAD method is called PARADE (PAR based Activity DEtection). By considering the powers of the periodic and aperiodic components of the observed signals simultaneously, PARADE can detect speech segments more precisely in the presence of noise than conventional VAD methods. In this paper… CONTINUE READING

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