Energy Normalization in Automatic Speech Recognition
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[1] E. Hänsler,et al. Acoustic Echo and Noise Control: A Practical Approach , 2004 .
[2] D. O'Shaughnessy,et al. Using noise reduction and spectral emphasis techniques to improve ASR performance in noisy conditions , 2003, 2003 IEEE Workshop on Automatic Speech Recognition and Understanding (IEEE Cat. No.03EX721).
[3] Gerhard Schmidt,et al. Acoustic echo and noise control , 2004 .
[4] D. Pekar,et al. Vocal Tract Normalization Based on Formant Positions , 2006 .
[5] Douglas D. O'Shaughnessy,et al. Log-energy dynamic range normalization for robust speech recognition , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..
[6] Hanseok Ko,et al. Effective Energy Feature Compensation Using Modified Log-energy Dynamic Range Normalization for Robust Speech Recognition , 2007, IEICE Trans. Commun..
[7] D. O'Shaughnessy,et al. Incorporating frequency masking filtering in a standard MFCC feature extraction algorithm , 2004, Proceedings 7th International Conference on Signal Processing, 2004. Proceedings. ICSP '04. 2004..
[8] Pietro Laface,et al. Impact of variabilities on speech recognition , 2006 .
[9] Sven Nordholm,et al. Evaluation and Modification of Cepstral Moment Normalization for Speech Recognition in Additive Babble Ensemble , 2006 .
[10] Marc Moonen,et al. Acoustic echo and noise control , 2005 .