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» Comparison of modulation features for phoneme recognition
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ICASSP
2010
IEEE
13 years 4 months ago
Comparison of modulation features for phoneme recognition
In this paper, we compare several approaches for the extraction of modulation frequency features from speech signal using a phoneme recognition system. The general framework in th...
Sriram Ganapathy, Samuel Thomas, Hynek Hermansky
ICASSP
2010
IEEE
13 years 4 months ago
Robust spectro-temporal features based on autoregressive models of Hilbert envelopes
In this paper, we present a robust spectro-temporal feature extraction technique using autoregressive models (AR) of sub-band Hilbert envelopes. AR models of Hilbert envelopes are...
Sriram Ganapathy, Samuel Thomas, Hynek Hermansky
LREC
2010
134views Education» more  LREC 2010»
13 years 6 months ago
Comparison of Spectral Properties of Read, Prepared and Casual Speech in French
In this paper, we investigate the acoustic properties of phonemes in three speaking styles: read speech, prepared speech and spontaneous speech. Our aim is to better understand wh...
Jean-Luc Rouas, Mayumi Beppu, Martine Adda-Decker
ICASSP
2011
IEEE
12 years 8 months ago
Using clustering comparison measures for speaker recognition
Recent results seem to cast some doubt over the assumption that improvements in fused recognition accuracy for speaker recognition systems based on different acoustic features are...
Jia Min Karen Kua, Julien Epps, Mohaddeseh Nosrati...
KBS
2006
92views more  KBS 2006»
13 years 4 months ago
Two-level speech recognition to enhance the performance of spoken dialogue systems
Spoken dialogue systems can be considered knowledge-based systems designed to interact with users using speech in order to provide information or carry out simple tasks. Current s...
Ramón López-Cózar, Zoraida Ca...