HMM modeling for audio-visual speech recognition

@article{Zhi2001HMMMF,
  title={HMM modeling for audio-visual speech recognition},
  author={Qi Zhi and Mustafa Nazmi Kaynak and Kuntal Sengupta and Adrian David Cheok and Chi Chung Ko},
  journal={IEEE International Conference on Multimedia and Expo, 2001. ICME 2001.},
  year={2001},
  pages={136-139}
}
Bimodal speech recognition is a robust technique for automated speech analysis, and has received a lot of attention in the last few decades. In this paper, we analyze the effect of the HMM models on the performance of the bimodal speech recognizer, present a comparative analysis of the different HMM models that can be used in bimodal speech recognition, and finally propose a novel model, which has been experimentally verified to perform better than others. One of the unique characteristic of… CONTINUE READING