181 search results - page 11 / 37 » Bi-Spectral Acoustic Features for Robust Speech Recognition |
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Deep Neural Networks (DNNs) denote multilayer artificial neural networks with more than one hidden layer and millions of free parameters. We propose a Generalized Discriminant An...
INFORMATICALT
2010
13 years 6 months ago
2010
The paper deals with the use of formant features in dynamic time warping based speech recognition. These features can be simply visualized and give a new insight into understanding...
TASLP
2011
13 years 2 months ago
2011
— Missing feature theory (MFT) has demonstrated great potential for improving the noise robustness in speech recognition. MFT was mostly applied in the log-spectral domain since ...
ICASSP
2008
IEEE
14 years 1 months ago
2008
IEEE
In the past several years, we’ve been studying feature transformation (FT) approaches to robust automatic speech recognition (ASR) which can compensate for possible “distortio...
ICASSP
2010
IEEE
13 years 6 months ago
2010
IEEE
This paper presents a new robust feature extraction algorithm based on a modified approach to power bias subtraction combined with applying a threshold to the power spectral dens...