Fourth Workshop on Child, Computer and Interaction (WOCCI 2014)
Although speaker verification is an established area of speech technology, previous studies have been restricted to adult speech. This paper investigates speaker verification for childrens speech, using the PF-STAR childrens speech corpus. A contemporary GMM-based speaker verification system, using MFCC features and maximum score normalization, is applied to adult and child speech at various bandwidths using comparable test and training material. The results show that the Equal Error Rate (EER) for child speech is almost four times greater than that for adults. A study of the effect of bandwidth on EER shows that for adult speaker verification, the spectrum can be conveniently partitioned into three frequency bands: up to 3.5-4kHz, which contains individual differences in the part of the spectrum due to primary vocal tract resonances, the region between 4kHz and 6kHz, which contains further speaker-specific information and gives a significant reduction in EER, and the region above 6kHz. These finding are consistent with previous research. For young childrens speech a similar pattern emerges, but with each region shifted to higher frequency values.
Index Terms: speaker recognition, child speech, Gaussian mixture model, bandwidth, PF-STAR, ABI-1, ABI-2
Bibliographic reference. Safavi, Saeid / Najafian, Maryam / Hanani, Abualsoud / Russell, Martin / Jančovič, Peter (2014): "Comparison of speaker verification performance for adult and child speech", In WOCCI-2014, 27-31.