Sixth International Conference on Spoken Language Processing
This paper proposes a new structure for use in MLLR adaptation aiming at constraining the transform for potentially better parameter estimation from sparse adaptation data. Motivations for the use of the new structure, and EM based parameter estimation are presented. Experimental results on Spoke3 of the Wall Street Journal task revealed that the proposed transformations outperform a full matrix for a small amount of adaptation data and performs equally well for large adaptation set. They also outperform diagonal transformations for all amounts of adaptation data.
Bibliographic reference. Afify, Mohamed / Siohan, Olivier (2000): "Constrained maximum likelihood linear regression for speaker adaptation", In ICSLP-2000, vol.3, 861-864.