Speaker Invariant and Noise Robust Speech Recognition Using Enhanced Auditory and VTL Based Features
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Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-642-35314-7_10
Reference7 articles.
1. Acero, A., Stern, R.M.: Environmental robustness in automatic speech recognition. In: International Conference on Acoustics, Speech, and Signal Processing (ICASSP 1990), vol. 2, pp. 849–852. IEEE Press, Albuquerque (1990)
2. Li, Q.: An auditory-based transform for audio signal processing. In: Proceedings of IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, New Paltz, New York (2009)
3. Zhang, J., Li, G.-L., Zheng, Y.-Z., Liu, X.-Y.: A Novel Noise-robust Speech Recognition System Based on Adaptively Enhanced Bark Wavelet MFCC. In: Sixth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2009), Tianjin, pp. 443–447 (2009)
4. Muller, F., Mertins, A.: Invariant-integration method for robust feature extraction in speaker-independent speech recognition. In: Int. Conf. Spoken Language Processing (Interspeech 2009-ICSLP), Brighton, pp. 2975–2978 (2009)
5. Muller, F., Mertins, A.: On Using the Auditory Image Model and Invariant-Integration for Noise Robust Automatic Speech Recognition. In: Proc. Int. Conf. Audio, Speech, and Signal Processing, Kyoto, Japan, pp. 4905–4908 (2012)
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