90 search results - page 2 / 18 » Online adaptive learning for speech recognition decoding |
INTERSPEECH
2010
13 years 1 months ago
2010
Recent research has shown that speech can be sparsely represented using a dictionary of speech segments spanning multiple frames, exemplars, and that such a sparse representation ...
TASLP
2002
13 years 5 months ago
2002
In this paper, we present a framework for developing source coding, channel coding and decoding as well as erasure concealment techniques adapted for distributed (wireless or packe...
ICPR
2006
IEEE
14 years 7 months ago
2006
IEEE
Speech recognition is usually based on Hidden Markov Models (HMMs), which represent the temporal dynamics of speech very efficiently, and Gaussian mixture models, which do non-opt...
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
A novel frame-wise model adaptation approach for reverberationrobust distant-talking speech recognition is proposed. It adjusts the means of static cepstral features to capture th...
ICASSP
2010
IEEE
13 years 6 months ago
2010
IEEE
Data sparseness is an ever dominating problem in automatic emotion recognition. Using artificially generated speech for training or adapting models could potentially ease this: t...