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» Analysis-by-synthesis features for speech recognition
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ICASSP
2008
IEEE
14 years 4 months ago
Multisensor multiband cross-energy tracking for feature extraction and recognition
In this paper, we present a multisensor multiband energy tracking scheme for robust feature extraction in noisy environments. We introduce a multisensor feature extraction algorit...
Stamatios Lefkimmiatis, Petros Maragos, Athanassio...
IEAAIE
2011
Springer
13 years 1 months ago
Multiple Source Phoneme Recognition Aided by Articulatory Features
This paper presents an experiment in speech recognition whereby multiple phoneme recognisers are applied to the same utterance. When these recognisers agree on an hypothesis for th...
Mark Kane, Julie Carson-Berndsen
TASLP
2008
133views more  TASLP 2008»
13 years 8 months ago
Minimum Mean-Squared Error Estimation of Mel-Frequency Cepstral Coefficients Using a Novel Distortion Model
In this paper, a new method for statistical estimation of Mel-frequency cepstral coefficients (MFCCs) in noisy speech signals is proposed. Previous research has shown that model-ba...
Kevin M. Indrebo, Richard J. Povinelli, Michael T....
IROS
2007
IEEE
100views Robotics» more  IROS 2007»
14 years 3 months ago
Humanoid robot noise suppression by particle filters for improved automatic speech recognition accuracy
Automatic speech recognition on a humanoid robot is exposed to numerous known noises produced by the robot’s own motion system and background noises such as fans. Those noises i...
Florian Kraft, Matthias Wölfel
ICMCS
2006
IEEE
161views Multimedia» more  ICMCS 2006»
14 years 3 months ago
Emotion Recognition from Noisy Speech
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...
Mingyu You, Chun Chen, Jiajun Bu, Jia Liu, Jianhua...