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Information theoretic feature extraction for audio-visual ...
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.172.4247#:~:text=Our%20approach%20to%20feature%20extraction%20is%20based%20on,on%20multimodal%20classification%2C%20in%20particular%20audio%E2%80%93visual%20speech%20recognition.
Information Theoretic Feature Extraction for Audio-Visual ...
https://ieeexplore.ieee.org/document/5153314
Information Theoretic Feature Extraction for Audio-Visual Speech Recognition Abstract:The problem of feature selection has been thoroughly analyzed in the context of pattern classification, with the purpose of avoiding the curse of dimensionality. However, in the context of multimodal signal processing, this problem has been studied less.
Information theoretic feature extraction for audio-visual ...
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.172.4247
Our approach to feature extraction is based on information theory, with an application on multimodal classification, in particular audio–visual speech recognition. Contrary to previous work in information theoretic feature selection applied to multimodal signals, our proposed methods penalize features for their redundancy, achieving more compact feature sets and …
Information Theoretic Feature Extraction for Audio-Visual ...
https://www.researchgate.net/publication/224557984_Information_Theoretic_Feature_Extraction_for_Audio-Visual_Speech_Recognition
Recently, an approach based on information theory, for audio-visual speech recognition, the which checks for redundancy among features, yielding …
Information Theoretic Feature Extraction for Audio-Visual ...
https://ui.adsabs.harvard.edu/abs/2009ITSP...57.4765G/abstract
adshelp[at]cfa.harvard.edu The ADS is operated by the Smithsonian Astrophysical Observatory under NASA Cooperative Agreement NNX16AC86A
Information theoretic feature extraction for audio-visual ...
https://infoscience.epfl.ch/record/140747
Our approach to feature extraction is based on information theory, with an application on multimodal classification, in particular audio-visual speech recognition. Contrary to previous work in information theoretic feature selection applied to multimodal signals, our proposed methods penalize features for their redundancy, achieving more ...
IEEE TRANSACTIONS ON SIGNAL PROCESSING, …
https://core.ac.uk/download/pdf/147953972.pdf
Information Theoretic Feature Extraction for Audio-Visual Speech Recognition Mihai Gurban, Member, IEEE, and Jean-Philippe Thiran, Senior Member, IEEE Abstract—The problem of feature selection has been thoroughly analyzed in the context of pattern classification, with the purpose of avoiding the curse of dimensionality. However, in the context
Mutual information eigenlips for audio-visual speech ...
https://citeseerx.ist.psu.edu/showciting?cid=7195833
Information theoretic feature extraction for audio-visual speech recognition by Mihai Gurban, et al. - IEEE TRANSACTIONS ON SIGNAL PROCESSING , 2009 The problem of feature selection has been thoroughly analyzed in the context of pattern classification, with the purpose of avoiding the curse of dimensionality.
Audio-visual automatic speech recognition: An overview. (2004)
https://citeseer.ist.psu.edu/showciting?cid=82255
This paper investigates the recognition of group actions in meetings. A framework is employed in which group actions result from the interactions of the individual participants. The group actions are modelled using different HMM-based approaches, where the observations are provided by a set of audio-visual features monitoring the actions of ...
Mutual information eigenlips for audio-visual speech ...
https://www.researchgate.net/publication/37439276_Mutual_information_eigenlips_for_audio-visual_speech_recognition
An overview about MI used in medical imaging applications is presented in [2]. An MI application to find features for audio-visual speech recognition tasks is proposed in [4]. Zhou et al. [5] used ...
SpeechPy - A Library for Speech Processing and …
https://www.theoj.org/joss-papers/joss.00749/10.21105.joss.00749.pdf
Gurban, Mihai, and Jean-Philippe Thiran. 2009. “Information Theoretic Feature Extrac-tion for Audio-Visual Speech Recognition.” IEEE Transactions on Signal Processing 57 (12). IEEE:4765–76. Torfi, (2018). SpeechPy - A Library for Speech Processing and Recognition.Journal of Open Source Software, 3(27), 749. https://doi.org/10.21105/joss.00749 4
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