[PDF][PDF] Global SNR Estimation of Speech Signals for Unknown Noise Conditions Using Noise Adapted Non-Linear Regression.
The performance of speech technologies deteriorates in the presence of noise. Additionally,
we need these technologies to be able to operate across a variety of noise levels and …
we need these technologies to be able to operate across a variety of noise levels and …
Efficient estimation and model generalization for the totalvariability model
R Travadi, S Narayanan - Computer Speech & Language, 2019 - Elsevier
A number of audio signal processing applications characterize different properties of the
source underlying an audio signal by analyzing the distribution of a sequence of feature …
source underlying an audio signal by analyzing the distribution of a sequence of feature …
[PDF][PDF] A Distribution Free Formulation of the Total Variability Model.
R Travadi, SS Narayanan - INTERSPEECH, 2017 - isca-archive.org
Abstract The Total Variability Model (TVM)[1] has been widely used in audio signal
processing as a framework for capturing differences in feature space distributions across …
processing as a framework for capturing differences in feature space distributions across …