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» Temporal Feature Selection for Noisy Speech Recognition
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ICASSP
2010
IEEE
14 years 10 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
COMSIS
2010
14 years 7 months ago
A novel hierarchical speech emotion recognition method based on improved DDAGSVM
In order to improve the recognition accuracy of speech emotion recognition, in this paper, a novel hierarchical method based on improved Decision Directed Acyclic Graph SVM (improv...
Qi-Rong Mao, Yong-Zhao Zhan
ACII
2007
Springer
15 years 4 months ago
Frame vs. Turn-Level: Emotion Recognition from Speech Considering Static and Dynamic Processing
Abstract. Opposing the pre-dominant turn-wise statistics of acoustic LowLevel-Descriptors followed by static classification we re-investigate dynamic modeling directly on the frame...
Bogdan Vlasenko, Björn Schuller, Andreas Wend...
ICASSP
2011
IEEE
14 years 1 months ago
Robust speaker identification using a CASA front-end
Speaker recognition remains a challenging task under noisy conditions. Inspired by auditory perception, computational auditory scene analysis (CASA) typically segregates speech by...
Xiaojia Zhao, Yang Shao, DeLiang Wang
CVPR
2007
IEEE
15 years 12 months ago
Eigenboosting: Combining Discriminative and Generative Information
A major shortcoming of discriminative recognition and detection methods is their noise sensitivity, both during training and recognition. This may lead to very sensitive and britt...
Helmut Grabner, Peter M. Roth, Horst Bischof