We investigated the feasibility of improving the reliability of LR calculations by creating a simulated background population. Using spontaneous speech and carefully read-out speech from 18 male speakers of Australian English in the ANDOSL database, we modelled the characteristics of the two speech styles and applied the model to Bernard’s formant data to simulate spontaneous speech data from it. We calculated two sets of LRs using two different background populations: Bernard’s original data, and the simulated spontaneous speech data. The simulated spontaneous speech data did not perform better in the classification of speaker pairs, but did improve the calibration of the LRs significantly.
|Title of host publication||Proceedings of the 13th Australasian International Conference on Speech Science and Technology|
|Place of Publication||Melbourne, Australia|
|Publisher||Australian Speech Science and Technology Association (ASSTA)|
|Number of pages||4|
|Publication status||Published - 2010|
|Event||SST 2010: Thirteenth Australasian International Conference on Speech Science and Technology 2010 - Melbourne, Australia|
Duration: 14 Dec 2010 → 16 Dec 2010
|Conference||SST 2010: Thirteenth Australasian International Conference on Speech Science and Technology 2010|
|Period||14/12/10 → 16/12/10|
Kinoshita, Y., & Norris, M. (2010). Simulating spontaneous speech: application to forensic voice comparison. In Proceedings of the 13th Australasian International Conference on Speech Science and Technology (pp. 26-29). Melbourne, Australia: Australian Speech Science and Technology Association (ASSTA).