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INTERSPEECH
2010
13 years 3 days ago
SAFE: a statistical algorithm for F0 estimation for both clean and noisy speech
A novel Statistical Approach for F0 Estimation, SAFE, is proposed to improve the accuracy of F0 tracking under both clean and additive noise conditions. Prominent Signal-to-Noise ...
Wei Chu, Abeer Alwan
TASLP
2002
109views more  TASLP 2002»
13 years 5 months ago
Particle methods for Bayesian modeling and enhancement of speech signals
This paper applies time-varying autoregressive (TVAR) models with stochastically evolving parameters to the problem of speech modeling and enhancement. The stochastic evolution mod...
Jaco Vermaak, Christophe Andrieu, Arnaud Doucet, S...
ICASSP
2011
IEEE
12 years 9 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,...
ICML
2007
IEEE
14 years 6 months ago
Unsupervised estimation for noisy-channel models
Shannon's Noisy-Channel model, which describes how a corrupted message might be reconstructed, has been the corner stone for much work in statistical language and speech proc...
Markos Mylonakis, Khalil Sima'an, Rebecca Hwa