135 search results - page 1 / 27 » Temporal Feature Selection for Noisy Speech Recognition |
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
In this contribution we present a feature extraction method that relies on the modulation-spectral analysis of amplitude fluctuations within sub-bands of the acoustic spectrum by ...
ICMCS
2006
IEEE
13 years 11 months ago
2006
IEEE
This paper presents an emotion recognition system from clean and noisy speech. Geodesic distance was adopted to preserve the intrinsic geometry of emotional speech. Based on the g...
NAACL
1994
13 years 6 months ago
1994
A new mapping algorithm for speech recognition relates the features of simultaneous recordings of clean and noisy speech. The model is a piecewise nonfinear transformation appfied...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
Reverberant speech can be described as sounding distant with noticeable coloration and echo. These detrimental perceptual effects are caused by early and late reflections, respec...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
We address the feature selection problem for hidden Markov models (HMMs) in sequence classification. Temporal correlation in sequences often causes difficulty in applying featur...