论文信息 - MISSING FEATURE IMPUTATION OF LOG-SPECTRAL DATA FOR NOISE ROBUST ASR

MISSING FEATURE IMPUTATION OF LOG-SPECTRAL DATA FOR NOISE ROBUST ASR

In this paper, we present a missing feature (MF) imputation algorithm for log-spectral data with applications to noise robust ASR. Drawing from previous work [1], we adapt the previously proposed spectrographic reconstruction solution to the liftered log-spectral domain by introducing log-spectral flooring (LS-FLR). LS-FLR is shown to be an efficient and effective noise robust feature extraction technique. When LSFLR is integrated in deriving the novel log-spectral data imputation framework, the overall system is shown to provide significant improvements in noise robust speech recognition.

Abeer Alwan | Bengt J. Borgstrom | A. Alwan | B. J. Borgstrom

[1] E.J. Candes,et al. An Introduction To Compressive Sampling , 2008, IEEE Signal Processing Magazine.

[2] R.M. Stern,et al. Missing-feature approaches in speech recognition , 2005, IEEE Signal Processing Magazine.

[3] Abeer Alwan,et al. Non-linear feature extraction for robust speech recognition in stationary and non-stationary noise , 2003, Comput. Speech Lang..

[4] Stephen P. Boyd,et al. Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.

[5] Darren Pearce,et al. Enabling new speech driven services for mobile devices: An overview of the ETSI standards activities , 2000 .

[6] John H. L. Hansen,et al. Feature compensation in the cepstral domain employing model combination , 2009, Speech Commun..

[7] Abeer Alwan,et al. Utilizing Compressibility in Reconstructing Spectrographic Data, With Applications to Noise Robust ASR , 2009, IEEE Signal Processing Letters.

[8] John H. L. Hansen,et al. Environmental Sniffing: Noise Knowledge Estimation for Robust Speech Systems , 2003, IEEE Transactions on Audio, Speech, and Language Processing.

[9] Richard M. Stern,et al. Reconstruction of missing features for robust speech recognition , 2004, Speech Commun..

[10] Abeer Alwan,et al. A model of dynamic auditory perception and its application to robust word recognition , 1997, IEEE Trans. Speech Audio Process..