The speaker acoustic space described by a factor analysis model is assumed to reflect a majority of the speaker variations using a reduced number of latent factors. In this study, the age factor, as an observable important factor of a speakerís voice, is analyzed and employed in the description of the speaker acoustic space, using a factor analysis approach. An age dependent acoustic space is developed for speakers, and the effect of the age dependent space in eigenvoice is evaluated using the NIST SRE08 corpus. In addition, the data pool with different age distributions are evaluated based on joint factor analysis model to assess age influence from the data pool.
Bibliographic reference. Lei, Yun / Hansen, John H. L. (2009): "The role of age in factor analysis for speaker identification", In INTERSPEECH-2009, 2371-2374.