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Tonotopic Multi-Layered Perceptron: A Neural Network for Learning Long-Term Temporal Features for Speech Recognition., , and . ICASSP (1), page 945-948. IEEE, (2005)Context-dependent connectionist probability estimation in a hybrid hidden Markov model-neural net speech recognition system., , , , and . Comput. Speech Lang., 8 (3): 211-222 (1994)Statistical Inference in Multilayer Perceptrons and Hidden Markov Models with Applications in Continuous Speech Recognition., , and . NATO Neurocomputing, volume 68 of NATO ASI Series, page 217-226. Springer, (1989)Long-Term Temporal Features for Conversational Speech Recognition., , and . MLMI, volume 3361 of Lecture Notes in Computer Science, page 232-242. Springer, (2004)Features Based on Auditory Physiology and Perception., and . Techniques for Noise Robustness in Automatic Speech Recognition, Wiley, (2012)Recent innovations in speech-to-text transcription at SRI-ICSI-UW., , , , , , , , , and 8 other author(s). IEEE Trans. Speech Audio Process., 14 (5): 1729-1744 (2006)Generalization and Parameter Estimation in Feedforward Nets: Some Experiments, and . TR-89-017. International Computer Science Institute, Berkeley, CA, (1989)Using spectro-temporal features to improve AFE feature extraction for ASR., and . INTERSPEECH, page 1181-1184. ISCA, (2010)On using MLP features in LVCSR., , , and . INTERSPEECH, page 921-924. ISCA, (2004)Towards handling the acoustic environment in spoken language processing., and . ICSLP, page 85-88. ISCA, (1992)