ISCA Archive ICSLP 2000
ISCA Archive ICSLP 2000

New analysis method for harmonic plus noise model based on time-domain periodicity score

Eun-Kyoung Kim, Yung-Hwan Oh

Harmonic plus Noise Model (HNM) is the two-band speech model which assumes the speech signal to be composed of a harmonic part and a noise part. It is very important to determine the reasonable maximum voiced frequency which delimit harmonic and noise parts for highquality synthetic speech. In this paper, a new analysis method for HNM, especially maximum voiced frequency, is proposed, whereby the time-domain periodicity score is calculated for each harmonic band and the band of maximum score is selected for maximum voiced frequency. Moreover, recurrent equation of periodicity score is developed for fast implementation. This method has proven to be robust to the inaccuracy of pitch estimation and the frequency resolution problem in low-pitched speech.


Cite as: Kim, E.-K., Oh, Y.-H. (2000) New analysis method for harmonic plus noise model based on time-domain periodicity score. Proc. 6th International Conference on Spoken Language Processing (ICSLP 2000), vol. 3, 275-278

@inproceedings{kim00c_icslp,
  author={Eun-Kyoung Kim and Yung-Hwan Oh},
  title={{New analysis method for harmonic plus noise model based on time-domain periodicity score}},
  year=2000,
  booktitle={Proc. 6th International Conference on Spoken Language Processing (ICSLP 2000)},
  pages={vol. 3, 275-278}
}