Sciweavers

255 search results - page 13 / 51
» On the use of speaker superfactors for speaker recognition
Sort
View
ICPR
2000
IEEE
13 years 11 months ago
Acoustic and Facial Features for Speaker Recognition
This paper gives an insight into biometrics used for speaker recognition. Three different biometrics are presented, based on: acoustic, geometric lip, and holistic facial features...
Matthew Roach, Jason Brand, John S. Mason
ICMCS
2005
IEEE
139views Multimedia» more  ICMCS 2005»
14 years 29 days ago
Rapid Feature Space Speaker Adaptation for Multi-Stream HMM-Based Audio-Visual Speech Recognition
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...
Jing Huang, Etienne Marcheret, Karthik Visweswaria...
ICASSP
2008
IEEE
14 years 1 months ago
A multi-class MLLR kernel for SVM speaker recognition
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)...
Zahi N. Karam, William M. Campbell
TASLP
2002
93views more  TASLP 2002»
13 years 7 months ago
Robust endpoint detection and energy normalization for real-time speech and speaker recognition
When automatic speech recognition (ASR) and speaker verification (SV) are applied in adverse acoustic environments, endpoint detection and energy normalization can be crucial to th...
Qi Li, Jinsong Zheng, A. Tsai, Qiru Zhou
ICASSP
2011
IEEE
12 years 11 months ago
Discriminant binary data representation for speaker recognition
In supervector UBM/GMM paradigm, each acoustic file is represented by the mean parameters of a GMM model. This supervector space is used as a data representation space, which has...
Jean-François Bonastre, Pierre-Michel Bousq...