13 search results - page 1 / 3 » Lattice-based MLLR for speaker recognition |
ICASSP
2009
IEEE
14 years 1 months ago
2009
IEEE
Maximum-Likelihod Linear Regression (MLLR) transform coefficients have shown to be useful features for text-independent speaker recognition systems. These use MLLR coefficients ...
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
In this paper, we describe a novel speaker adaptation algorithm based on Gaussian mixture weight adaptation. A small number of latent speaker vectors are estimated with non-negati...
ICASSP
2008
IEEE
14 years 1 months ago
2008
IEEE
Speaker recognition using support vector machines (SVMs) with features derived from generative models has been shown to perform well. Typically, a universal background model (UBM)...
ICMCS
2005
IEEE
14 years 12 days ago
2005
IEEE
Multi-stream hidden Markov models (HMMs) have recently been very successful in audio-visual speech recognition, where the audio and visual streams are fused at the final decision...
INTERSPEECH
2010
13 years 1 months ago
2010
This paper presents a novel automatic speaker age and gender identification approach which combines five different methods at the acoustic level to improve the baseline performanc...