[图书][B] Markov models for pattern recognition: from theory to applications
GA Fink - 2014 - books.google.com
Markov models are extremely useful as a general, widely applicable tool for many areas in
statistical pattern recognition. This unique text/reference places the formalism of Markov …
statistical pattern recognition. This unique text/reference places the formalism of Markov …
[PDF][PDF] New methodology for the integration of biometric features in speaker recognition systems applied to security environments
LMM Fernández - 2014 - core.ac.uk
NEW METHODOLOGY FOR THE INTEGRATION OF BIOMETRIC FEATURES IN SPEAKER
RECOGNITION SYSTEMS APPLIED TO SECURITY ENVIRONMENTS DOCTOR Page 1 …
RECOGNITION SYSTEMS APPLIED TO SECURITY ENVIRONMENTS DOCTOR Page 1 …
Deep neural network trained with speaker representation for speaker normalization
A method for speaker normalization in deep neural network (DNN) based discriminative
feature estimation for automatic speech recognition (ASR) is presented. This method is …
feature estimation for automatic speech recognition (ASR) is presented. This method is …
Speaker adaptation based on regularized speaker-dependent eigenphone matrix estimation
WL Zhang, WQ Zhang, D Qu, BC Li - … Journal on Audio, Speech, and Music …, 2014 - Springer
Eigenphone-based speaker adaptation outperforms conventional maximum likelihood linear
regression (MLLR) and eigenvoice methods when there is sufficient adaptation data …
regression (MLLR) and eigenvoice methods when there is sufficient adaptation data …
New methodology for the integration of biometric features in speaker recognition systems applied to security environments
LM Mazaira Fernández - 2014 - oa.upm.es
La cuestión principal abordada en esta tesis doctoral es la mejora de los sistemas
biométricos de reconocimiento de personas a partir de la voz, proponiendo el uso de una …
biométricos de reconocimiento de personas a partir de la voz, proponiendo el uso de una …
[PDF][PDF] Improving EigenVoices-based techniques and SMLLR for Speaker Adaptation by combining EV and SMLLR techniques or using Genetic Algorithms
This paper constitutes a study of several classical and original methods for a speaker
adaptation of the acoustic hidden Markov models of an automatic speech recognition system …
adaptation of the acoustic hidden Markov models of an automatic speech recognition system …
Model Adaptation
GA Fink, GA Fink - Markov Models for Pattern Recognition: From Theory to …, 2014 - Springer
Both HMMs and n-gram models are usually created by estimating their parameters on some
sample set. Afterwards, the trained models can be applied for the segmentation of new data …
sample set. Afterwards, the trained models can be applied for the segmentation of new data …
Making sense of daily life data: From commonalities to anomalies: VAST 2014 Mini Challenge# 2
We report the approach and results on the VAST 2014 Mini-Challenge 2: Analysis
Movement and Tracking data of GAStech Employees' daily lives. Based on the commercial …
Movement and Tracking data of GAStech Employees' daily lives. Based on the commercial …