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An Asynchronous Hidden Markov Model for Audio …
https://papers.nips.cc/paper/2301-an-asynchronous-hidden-markov-model-for-audio-visual-speech-recognition.pdf
namely Asynchronous Input/ Output Hidden Markov Models and Pair Hidden Markov Models. An EM algorithm to train the model is presented, as well as a Viterbi decoder that can be used to ob tain the optimal state sequence as well as the alignment between the two sequences. The model has been tested on an audio-visual speech recognition task using the M2VTS database and …
An Asynchronous Hidden Markov Model for Audio-Visual ...
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.7.3806
asynchronous hidden markov model audio-visual speech recognition robust performance optimal state sequence pair hidden markov model markovian model joint probability asynchronous sequence viterbi decoder em algorithm novel hidden markov model architecture audio-visual speech recognition task various noise condition m2vts database
An Asynchronous Hidden Markov Model for Audio-Visual ...
https://www.researchgate.net/publication/37433102_An_Asynchronous_Hidden_Markov_Model_for_Audio-Visual_Speech_Recognition
The Asynchronous Hidden Markov Model (AHMM) [8] is a special HMM architecture designed to jointly model pairs of lightly de-synchronized sequences, sampled at …
An asynchronous Hidden Markov Model for audio-visual ...
https://dl.acm.org/doi/10.5555/2968618.2968772
Home Conferences NIPS Proceedings NIPS'02 An asynchronous Hidden Markov Model for audio-visual speech recognition. Article . An asynchronous Hidden Markov Model for audio-visual speech recognition. Share on. Author: Samy Bengio. Dalle Molle Institute for Perceptual Artificial Intelligence (IDIAP), Martigny, Switzerland.
An Asynchronous Hidden Markov Model for Audio-Visual ...
https://papers.nips.cc/paper/2002/hash/2b45c629e577731c4df84fc34f936a89-Abstract.html
An EM algorithm to train the model is presented, as well as a Viterbi decoder that can be used to ob(cid:173) tain the optimal state sequence as well as the alignment between the two sequences. The model has been tested on an audio-visual speech recognition task using the M2VTS database and yielded robust performances under various noise ...
An asynchronous hidden markov model for audio-visual ...
https://core.ac.uk/display/24622449
An asynchronous hidden markov model for audio-visual speech recognition . ... namely Asynchronous Input/Output Hidden Markov Models and Pair Hidden Markov Models. An EM algorithm to train the model is presented, as well as a Viterbi decoder that can be used to obtain the optimal state sequence as well as the alignment between the two sequences ...
Multimodal speech processing using asynchronous …
https://www.sciencedirect.com/science/article/pii/S1566253503000678
The Asynchronous Hidden Markov Model Let us consider the case where one is interested in modeling the joint probability of two asynchronous sequences, denoted X = x1T and Y = y1S where T and S are respectively the length of sequences X and Y, with S ⩽ T without loss of generality. 1 We are thus interested in modeling p ( x1T, y1S ).
Viseme-dependent weight optimization for CHMM-based …
https://www.academia.edu/68897275/Viseme_dependent_weight_optimization_for_CHMM_based_audio_visual_speech_recognition
This Audio and visual speech signals supplement each other and approach was implemented in an audio-visual Russian speech when combined, they are capable of improving the recognizer, which is based on state asynchronous 2-stream performance (accuracy and robustness) of automatic speech Coupled Hidden Markov Models. recognition systems.
Multimodal Authentication Using Asynchronous HMMs ...
https://link.springer.com/chapter/10.1007%2F3-540-44887-X_89
An asynchronous hidden markov model for audio-visual speech recognition. Technical Report IDIAP-RR 02-26, IDIAP, 2002. Google Scholar [2] S. Bengio. An asynchronous hidden markov model for audio-visual speech recognition. In S. Becker, S. Thrun, and K. Obermayer, editors, Advances in Neural Information Processing Systems, NIPS 15, 2003.
CiteSeerX — Citation Query Loosely coupled HMMs for ASR
https://citeseer.ist.psu.edu/showciting?cid=806866
Hidden Markov models (HMMs) and Kalman filter models (KFMs) are popular for this because they are simple and flexible. For example, HMMs have been used for speech recognition and bio-sequence analysis, and KFMs have been used for problems ranging from tracking planes and missiles to predicting the economy.
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