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    TASLP
    2008
    133views more  TASLP 2008»
    Minimum Mean-Squared Error Estimation of Mel-Frequency Cepstral Coefficients Using a Novel Distortion Model
    13 years 2 months ago
    Minimum Mean-Squared Error Estimation of Mel-Frequency Cepstral Coefficients Using a Novel Distortion Model
    Download  povinelli.eece.mu.edu
    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....
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    ICASSP
    2008
    IEEE
    134views Signal Processing» more  ICASSP 2008»
    A minimum-mean-square-error noise reduction algorithm on Mel-frequency cepstra for robust speech recognition
    13 years 11 months ago
    A minimum-mean-square-error noise reduction algorithm on Mel-frequency cepstra for robust speech recognition
    Download  research.microsoft.com
    Dong Yu, Li Deng, Jasha Droppo, Jian Wu, Yifan Gon...
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    ICMCS
    2007
    IEEE
    177views Multimedia» more  ICMCS 2007»
    Robust Analysis and Weighting on MFCC Components for Speech Recognition and Speaker Identification
    13 years 8 months ago
    Robust Analysis and Weighting on MFCC Components for Speech Recognition and Speaker Identification
    Download  www.isle.illinois.edu
    Mismatch between training and testing data is a major error source for both Automatic Speech Recognition (ASR) and Automatic Speaker Identification (ASI). In this paper, we first ...
    Xi Zhou, Yun Fu, Ming Liu, Mark Hasegawa-Johnson, ...
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    TASLP
    2010
    157views more  TASLP 2010»
    HMM-Based Reconstruction of Unreliable Spectrographic Data for Noise Robust Speech Recognition
    12 years 11 months ago
    HMM-Based Reconstruction of Unreliable Spectrographic Data for Noise Robust Speech Recognition
    Download  www.ee.ucla.edu
    This paper presents a framework for efficient HMM-based estimation of unreliable spectrographic speech data. It discusses the role of Hidden Markov Models (HMMs) during minimum mea...
    Bengt J. Borgstrom, Abeer Alwan
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    ISCAS
    2003
    IEEE
    124views Hardware» more  ISCAS 2003»
    Improving the filter bank of a classic speech feature extraction algorithm
    13 years 9 months ago
    Improving the filter bank of a classic speech feature extraction algorithm
    Download  www.cnel.ufl.edu
    The most popular speech feature extractor used in automatic speech recognition (ASR) systems today is the mel frequency cepstral coefficient (mfcc) algorithm. Introduced in 1980,...
    Mark D. Skowronski, John G. Harris
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