Phonetic Classification Using Hierarchical, Feed-forward, Spectro-temporal Patch-based Architectures
暂无分享,去创建一个
T. Poggio | R. Rifkin | Minjoon Kouh | S. Chikkerur | T. Ezzat | J. Bouvrie | K. Schutte | Tony Ezzat
[1] James R. Glass,et al. Noise Robust Phonetic Classificationwith Linear Regularized Least Squares and Second-Order Features , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.
[2] Thomas Serre,et al. Robust Object Recognition with Cortex-Like Mechanisms , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[3] Martin Heckmann,et al. A hierarchical model for syllable recognition , 2007, ESANN.
[4] Tomaso Poggio,et al. Learning a dictionary of shape-components in visual cortex: comparison with neurons, humans and machines , 2006 .
[5] Thomas Serre,et al. A Theory of Object Recognition: Computations and Circuits in the Feedforward Path of the Ventral Stream in Primate Visual Cortex , 2005 .
[6] Yali Amit,et al. Robust acoustic object detection. , 2005, The Journal of the Acoustical Society of America.
[7] N. Morgan,et al. Pushing the envelope - aside [speech recognition] , 2005, IEEE Signal Processing Magazine.
[8] Powen Ru,et al. Multiresolution spectrotemporal analysis of complex sounds. , 2005, The Journal of the Acoustical Society of America.
[9] Thomas Serre,et al. Object recognition with features inspired by visual cortex , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[10] Jing Peng,et al. SVM vs regularized least squares classification , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..
[11] Paul Lamere,et al. Sphinx-4: a flexible open source framework for speech recognition , 2004 .
[12] Daniel P. W. Ellis,et al. LP-TRAP: linear predictive temporal patterns , 2004, INTERSPEECH.
[13] Hynek Hermansky. TRAP-TANDEM: data-driven extraction of temporal features from speech , 2003, 2003 IEEE Workshop on Automatic Speech Recognition and Understanding (IEEE Cat. No.03EX721).
[14] Daniel P. W. Ellis,et al. Frequency-domain linear prediction for temporal features , 2003, 2003 IEEE Workshop on Automatic Speech Recognition and Understanding (IEEE Cat. No.03EX721).
[15] Christoph E Schreiner,et al. Spectrotemporal structure of receptive fields in areas AI and AAF of mouse auditory cortex. , 2003, Journal of neurophysiology.
[16] Michael Kleinschmidt. Localized spectro-temporal features for automatic speech recognition , 2003, INTERSPEECH.
[17] James R. Glass. A probabilistic framework for segment-based speech recognition , 2003, Comput. Speech Lang..
[18] David Gelbart,et al. Improving word accuracy with Gabor feature extraction , 2002, INTERSPEECH.
[19] K. Sen,et al. Feature analysis of natural sounds in the songbird auditory forebrain. , 2001, Journal of neurophysiology.
[20] Albert S. Bregman,et al. Auditory Scene Analysis , 2001 .
[21] K. Sen,et al. Spectral-temporal Receptive Fields of Nonlinear Auditory Neurons Obtained Using Natural Sounds , 2022 .
[22] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[23] T. Poggio,et al. Hierarchical models of object recognition in cortex , 1999, Nature Neuroscience.
[24] Hervé Bourlard,et al. The full combination sub-bands approach to noise robust HMM/ANN based ASR , 1999, EUROSPEECH.
[25] Hynek Hermansky,et al. Temporal patterns (TRAPs) in ASR of noisy speech , 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).
[26] Treebank Penn,et al. Linguistic Data Consortium , 1999 .
[27] Andrew K. Halberstadt. Heterogeneous acoustic measurements and multiple classifiers for speech recognition , 1999 .
[28] James R. Glass,et al. Heterogeneous measurements and multiple classifiers for speech recognition , 1998, ICSLP.
[29] Steven Greenberg,et al. Robust speech recognition using the modulation spectrogram , 1998, Speech Commun..
[30] M. Merzenich,et al. Optimizing sound features for cortical neurons. , 1998, Science.
[31] Richard Lippmann,et al. Speech recognition by machines and humans , 1997, Speech Commun..
[32] Hervé Bourlard,et al. Subband-based speech recognition , 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[33] Steven Greenberg,et al. The modulation spectrogram: in pursuit of an invariant representation of speech , 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[34] James R. Glass,et al. A probabilistic framework for feature-based speech recognition , 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.
[35] Tai Sing Lee,et al. Image Representation Using 2D Gabor Wavelets , 1996, IEEE Trans. Pattern Anal. Mach. Intell..
[36] Jont B. Allen,et al. How do humans process and recognize speech? , 1994, IEEE Trans. Speech Audio Process..
[37] Jonathan G. Fiscus,et al. Darpa Timit Acoustic-Phonetic Continuous Speech Corpus CD-ROM {TIMIT} | NIST , 1993 .
[38] Biing-Hwang Juang,et al. Fundamentals of speech recognition , 1993, Prentice Hall signal processing series.
[39] R. Patterson,et al. Complex Sounds and Auditory Images , 1992 .
[40] L. Galway. Spline Models for Observational Data , 1991 .
[41] F. Girosi,et al. Networks for approximation and learning , 1990, Proc. IEEE.
[42] V. Rich. Personal communication , 1989, Nature.
[43] John G. Daugman,et al. Complete discrete 2-D Gabor transforms by neural networks for image analysis and compression , 1988, IEEE Trans. Acoust. Speech Signal Process..
[44] Sadaoki Furui,et al. Speaker-independent isolated word recognition using dynamic features of speech spectrum , 1986, IEEE Trans. Acoust. Speech Signal Process..
[45] M. Cynader,et al. Sensitivity of cat primary auditory cortex (Al) neurons to the direction and rate of frequency modulation , 1985, Brain Research.
[46] D. Hubel,et al. Receptive fields and functional architecture of monkey striate cortex , 1968, The Journal of physiology.
[47] D. Hubel,et al. Receptive fields, binocular interaction and functional architecture in the cat's visual cortex , 1962, The Journal of physiology.
[48] D. Hubel,et al. Receptive fields of single neurones in the cat's striate cortex , 1959, The Journal of physiology.