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CiteSeerX — Asynchrony Modeling for Audio-Visual Speech ...
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.7.5071#:~:text=Abstract%20We%20investigate%20the%20use%20of%20multi-stream%20HMMs,and%20are%20equivalent%20to%20product%2C%20or%20composite%2C%20HMMs.
Asynchrony Modeling for Audio-Visual Speech …
https://www.researchgate.net/publication/2850451_Asynchrony_Modeling_for_Audio-Visual_Speech_Recognition
Request PDF | Asynchrony Modeling for Audio-Visual Speech Recognition | We investigate the use of multi-stream HMMs in the automatic recognition of audio-visual speech. Multi-stream HMMs allow the ...
CiteSeerX — Asynchrony Modeling for Audio-Visual …
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.7.5071
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): We investigate the use of multi-stream HMMs in the automatic recognition of audio-visual speech. Multi-stream HMMs allow the modeling of asynchrony between the audio and visual state sequences at a variety of levels (phone, syllable, word, etc.) and are equivalent to product, or composite, HMMs.
Multi-Stream Asynchrony Modeling for Audio Visual …
https://www.intechopen.com/chapters/5872
Multi-Stream Asynchrony Modeling for Audio Visual Speech Recognition, Speech Recognition, France Mihelic and Janez Zibert, IntechOpen, DOI: 10.5772/6373. Available from: Guoyun Lv, Yangyu Fan, Dongmei Jiang and Rongchun Zhao (November 1st 2008).
Multi-stream Asynchrony Modeling for Audio-Visual …
https://www.researchgate.net/publication/4302973_Multi-stream_Asynchrony_Modeling_for_Audio-Visual_Speech_Recognition
In this paper, two multi-stream asynchrony Dynamic Bayesian Network models (MS-ADBN model and MM-ADBN model) are proposed for audio-visual speech recognition (AVSR).
Asynchrony in Audio-Visual Speech Recognition (AVSR)
http://www.im2.ch/summer-institute-2009/pdf/Estellers.pdf
asynchrony Statistical models Experiments on modeling Feature processing to avoid asynchrony Experiments on feature processing Conclusions Audio-Visual Speech Recognition Improve the performance of audio-only systems with the visual modality, specially in the presence of noise. Lip’s movements and the actual production of sound are delayed between 10-100 ms.
Multi-Stream Asynchrony Modeling for Audio Visual …
https://www.researchgate.net/publication/221787442_Multi-Stream_Asynchrony_Modeling_for_Audio_Visual_Speech_Recognition
Asynchrony of speech and lip motion is a key issue of multi-model fusion Audio-Visual Speech Recognition (AVSR). In this paper, a Multi-Stream Asynchrony …
Overcoming Asynchrony in Audio-Visual Speech …
https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.352.2823&rep=rep1&type=pdf
come the natural asynchrony of modalities in Audio-Visual Speech Recognition. We first investigate the use of asynchronous statistical models based on Dynamic Bayesian Networks with different levels of asynchrony. We show that audio-visual models should consider asynchrony within word boundaries and not at phoneme level.
Overcoming Asynchrony in Audio-Visual Speech …
https://www.researchgate.net/publication/224203650_Overcoming_Asynchrony_in_Audio-Visual_Speech_Recognition
come the natural asynchrony of modalities in Audio-Visual Speech Recognition. We first investigate the use of asynchronous statistical models based on Dynamic Bayesian Networks with different levels...
Object Tracking and Asynchrony in Audio- Visual Speech ...
http://isle.illinois.edu/sst/pubs/2006/hasegawa-johnson06aivr.pdf
Object Tracking and Asynchrony in Audio-Visual Speech Recognition Mark Hasegawa-Johnson AIVR Seminar August 31, 2006 AVICAR is thanks to: Bowon Lee, Ming Liu, Camille Goudeseune, Suketu Kamdar, Carl Press, Sarah Borys and to the Motorola Communications Center Some experiments and most good ideas in this talk thanks to
Audio-visual speech modeling for continuous speech ...
https://ieeexplore.ieee.org/document/865479/
Audio-visual speech modeling for continuous speech recognition. Abstract: This paper describes a speech recognition system that uses both acoustic and visual speech information to improve recognition performance in noisy environments. The system consists of three components: a visual module; an acoustic module; and a sensor fusion module.
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