Tracking pitch period using particle filters

@article{Zhang2013TrackingPP,
  title={Tracking pitch period using particle filters},
  author={Geliang Zhang and Simon J. Godsill},
  journal={2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics},
  year={2013},
  pages={1-4}
}
Pitch tracking has been used in many speech processing applications. Most present time domain techniques in pitch estimation mainly use autocorrelation methods and the average magnitude difference functions. This paper aims to track pitch period of speech using the particle filter approach. A simple model has been proposed to capture the pitch period variations of noisy speech during voiced periods. Performance of the proposed method is compared with standard pitch detection algorithms… CONTINUE READING