Despite its many prima facie attractive properties for Forensic Speaker Recognition, F0 is regarded as having limited forensic value due to its large within-speaker variability. However, its forensic use to date has been limited mostly to its long-term mean and standard deviation. This paper examines the discriminatory potential, within a Likelihood Ratio-based approach, of additional parametric features from the distribution of long-term F0: its skew, kurtosis, modal F0 and modal density. Motivated by the observation that the overall long-term F0 distribution shows less within-speaker occasion-to-occasion difference, we report a forensic discrimination experiment with noncontemporaneous speech samples from 201 male Japanese speakers. Using a multivariate LR as discriminant distance with the six LTF0 distribution parameters, an EER of 10.7% is obtained from 201 target and 80400 non-target trials. We also investigate how the EER degrades as a function of amount of voiced speech.
Cite as: Kinoshita, Y., Ishihara, S., Rose, P. (2008) Beyond the long-term mean: exploring the potential of F0 distribution parameters in traditional forensic speaker recognition. Proc. The Speaker and Language Recognition Workshop (Odyssey 2008), paper 03
@inproceedings{kinoshita08_odyssey,
author={Yuko Kinoshita and Shunichi Ishihara and Phil Rose},
title={{Beyond the long-term mean: exploring the potential of F0 distribution parameters in traditional forensic speaker recognition}},
year=2008,
booktitle={Proc. The Speaker and Language Recognition Workshop (Odyssey 2008)},
pages={paper 03}
}