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ICASSP
2011
IEEE
12 years 11 months ago
Phase-sensitive speech enhancement for cochlear implant processing
In this paper, we present a new approach to enhance noisy speech based on an environmental model incorporating the phase between noise and clean speech (often called phasesensitiv...
Pourya S. Jafari, Hou-Yong Kang, Xiaosong Wang, Qi...
ICASSP
2011
IEEE
12 years 11 months ago
A new metric for VQ-based speech enhancement and separation
Speech enhancement and separation algorithms frequently employ two-stage processing schemes, where the signal is first mapped to an intermediate low-dimensional parametric descri...
Mads Græsbøll Christensen, Pejman Mow...
ICASSP
2009
IEEE
14 years 2 months ago
A criterion for the enhancement of time-frequency masks in missing data recognition
Despite their effectiveness for robust speech processing, missing data techniques are vulnerable to errors in the classification of the input speech signal’s time-frequency poi...
Daniel Pullella, Roberto Togneri
TASLP
2008
133views more  TASLP 2008»
13 years 5 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....
ICASSP
2010
IEEE
13 years 7 months ago
Variational nonparametric Bayesian Hidden Markov Model
The Hidden Markov Model (HMM) has been widely used in many applications such as speech recognition. A common challenge for applying the classical HMM is to determine the structure...
Nan Ding, Zhijian Ou