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» Signal Processing for Robust Speech Recognition
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ICASSP
2009
IEEE
15 years 11 months ago
Bounded conditional mean imputation with Gaussian mixture models: A reconstruction approach to partly occluded features
In this work we show how conditional mean imputation can be bounded through the use of box-truncated Gaussian distributions. That is of interest when signals or features are partl...
Friedrich Faubel, John W. McDonough, Dietrich Klak...
ICASSP
2011
IEEE
14 years 8 months ago
Calibration and weight of the evidence by human listeners. The ATVS-UAM submission to NIST HUMAN-aided speaker recognition 2010
This work analyzes the performance of speaker recognition when carried out by human lay listeners. In forensics, judges and jurors usually manifest intuition that people is profi...
Daniel Ramos, Javier Franco-Pedroso, Joaquin Gonza...
NOLISP
2005
Springer
15 years 10 months ago
Pseudo Cepstral Analysis of Czech Vowels
Real generalized cepstral analysis is introduced and applied to speech deconvolution. Real pseudo cepstrum of the vocal tract model impulse response is defined and applied to the a...
Robert Vích
ICASSP
2011
IEEE
14 years 8 months ago
Adapting acoustic and lexical models to dysarthric speech
Dysarthria is a motor speech disorder resulting from neurological damage to the part of the brain that controls the physical production of speech and is, in part, characterized by...
Kinfe Tadesse Mengistu, Frank Rudzicz
ICASSP
2011
IEEE
14 years 8 months ago
Speech inversion: Benefits of tract variables over pellet trajectories
Speech inversion is a way of estimating articulatory trajectories or vocal tract configurations from the acoustic speech signal. Traditionally, articulator flesh-point or pellet t...
Vikramjit Mitra, Hosung Nam, Carol Y. Espy-Wilson,...