The accuracy of automatic alignment systems will always be checked using references manually segmented by phonetic or speech communication experts. Consequently, the statistical characterisation of manual segmentation discrepancies becomes quite an important issue. To achieve the goal of finding a better statistical description of these discrepancies, two different experiments were carried out. The first pilot experiment, which was focused on the segmentation of a small subset of an Italian isolated-word speech data-base, was carried out only to better define the second experiment regarding the segmentation of few continuous Italian sentences.
A Preliminary Statistical Evaluation of Manual and Automatic Segmentation Discrepancies
Cosi P;
1991
Abstract
The accuracy of automatic alignment systems will always be checked using references manually segmented by phonetic or speech communication experts. Consequently, the statistical characterisation of manual segmentation discrepancies becomes quite an important issue. To achieve the goal of finding a better statistical description of these discrepancies, two different experiments were carried out. The first pilot experiment, which was focused on the segmentation of a small subset of an Italian isolated-word speech data-base, was carried out only to better define the second experiment regarding the segmentation of few continuous Italian sentences.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
