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AUDIOVISUAL SPEECH RECOGNITION WITH ARTICULATOR POSITIONS ...
https://home.ttic.edu/~klivescu/papers/hasegawa-johnson_icphs07.pdf#:~:text=error%20rate%20of%20automatic%20speech%20recognition%20%28ASR%29%20atlow,the%20transitionprobabilities%20of%20the%20two%20HMMs%20%5B3%2C%206%5D.
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
This paper presents a novel Hidden Markov Model architecture to model the joint probability of pairs of asynchronous sequences describing the same event. It is based on two other Markovian models, namely Asynchronous Input/Output Hidden …
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 ...
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