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Decision Level Fusion for Audio-Visual Speech Recognition in Noisy Conditions.

, , and . CIARP, volume 10125 of Lecture Notes in Computer Science, page 360-367. (2016)

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Audio-Visual Speech Recognition Scheme Based on Wavelets and Random Forests Classification., , , and . CIARP, volume 9423 of Lecture Notes in Computer Science, page 567-574. Springer, (2015)Complementary models for audio-visual speech classification., , and . Int. J. Speech Technol., 25 (1): 231-249 (2022)Robust front-end for audio, visual and audio-visual speech classification., , and . Int. J. Speech Technol., 21 (2): 293-307 (2018)A French-Spanish Multimodal Speech Communication Corpus Incorporating Acoustic Data, Facial, Hands and Arms Gestures Information., , , , , , , and . INTERSPEECH, page 2778-2782. ISCA, (2018)Audio-Visual Speech Classification based on Absent Class Detection., and . EUSIPCO, page 336-340. IEEE, (2020)Decision Level Fusion for Audio-Visual Speech Recognition in Noisy Conditions., , and . CIARP, volume 10125 of Lecture Notes in Computer Science, page 360-367. (2016)FaceTrack: Asymmetric Facial and Gesture Analysis Tool for Speech Language Pathologist Applications., , and . FME @ ACM Multimedia, page 1-10. ACM, (2021)Class Confusability Reduction in Audio-Visual Speech Recognition Using Random Forests., , and . CIARP, volume 10657 of Lecture Notes in Computer Science, page 584-592. Springer, (2017)Noisy Speech Recognition Based on Combined Audio-Visual Classifiers., , , and . MPRSS, volume 8869 of Lecture Notes in Computer Science, page 43-53. Springer, (2014)Complementary Gaussian Mixture Models for Multimodal Speech Recognition., , and . MPRSS, volume 8869 of Lecture Notes in Computer Science, page 54-65. Springer, (2014)