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A Study of Dropout-Induced Modality Bias on Robustness to Missing Video Frames for Audio-Visual Speech Recognition.

, , , , , , , and . CoRR, (2024)

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Iterative Training Techniques for Phonetic Template Based Speech Recognition with a Speaker-Independent Phonetic Recognizer., , and . Australian Conference on Artificial Intelligence, volume 3809 of Lecture Notes in Computer Science, page 577-584. Springer, (2005)On stochastic feature and model compensation approaches to robust speech recognition.. Speech Commun., 25 (1-3): 29-47 (1998)TT+GT at TRECVID 2010 Workshop., , , , , , and . TRECVID, National Institute of Standards and Technology (NIST), (2010)Minimum error rate training for PHMM-based text recognition., , and . IEEE Trans. Image Process., 8 (8): 1120-1124 (1999)Developments and directions in speech recognition and understanding, Part 1 DSP Education., , , , , , and . IEEE Signal Process. Mag., 26 (3): 75-80 (2009)A new approach to utterance verification based on neighborhood information in model space., and . IEEE Trans. Speech Audio Process., 11 (5): 425-434 (2003)A maximum-likelihood approach to stochastic matching for robust speech recognition., and . IEEE Trans. Speech Audio Process., 4 (3): 190-202 (1996)A Bayesian predictive classification approach to robust speech recognition., and . IEEE Trans. Speech Audio Process., 8 (2): 200-204 (2000)An SNR-incremental stochastic matching algorithm for noisy speech recognition., , and . IEEE Trans. Speech Audio Process., 9 (8): 866-873 (2001)Stochastic modeling in spoken dialogue system design.. Speech Communication, 15 (3-4): 311-322 (1994)