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DCT-BASED VIDEO FEATURES FOR AUDIO-VISUAL SPEECH ...
http://www.gipsa-lab.grenoble-inp.fr/~christophe.savariaux/PDF/ICSLP2002_martin.pdf
the DCT features for audio-visual speech recognition are carried out with an ANN/HMM hybrid model for continu-ous number recognition. Identification of the phonemes is performed independently for the audio and the video path (compare Fig. 1) and thus follows a SI or multi-stream ap-proach [3]. The ANNs are trained to produce estimates of RASTA-PLP Audio
(PDF) DCT-based video features for audio-visual speech ...
https://www.researchgate.net/publication/221486807_DCT-based_video_features_for_audio-visual_speech_recognition
DCT features for audio-visual speech recognition are carried out with an ANN/HMM hybrid model for continuous number recognition. Identification of the phonemes is …
(PDF) DCT-based video features for audio-visual speech ...
https://www.academia.edu/4607653/DCT_based_video_features_for_audio_visual_speech_recognition
For Encouraged by the good performance of the DCT in audio- the first dataset we use the DCT to extract the relevant vi- visual speech recognition [1], we investigate how the selec- sual features and in the second the lips of the speaker are tion of the DCT coefficients influences the recognition scores colored with blue ink, which allows to precisely extract the in a hybrid …
DCT-based video features for audio-visual speech ...
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.468.9141
audio-visual speech recognition dct-based video feature good performance second audio-visual database similar content snr value audio-visual recog-nition scenario variance relative mean energy addi-tional noise different speaker noise ratio dct feature mean value chroma-keyed geometric lip feature continuous word recognition task audio-visual test
CiteSeerX — DCT-based video features for audio-visual ...
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.301.228
dct-based video feature audio-visual speech recognition good performance second audio-visual database similar content snr value different speaker audio-visual recognition scenario variance relative mean energy additional noise noise ratio dct coefficient audiovisual speech recognition mean value chroma-keyed geometric lip feature continuous word recognition task audio-visual …
DCT-based video features for audio-visual speech ...
https://citeseerx.ist.psu.edu/showciting?cid=1813777&start=10
We compare lip reading results for PV and FV, which demonstrate a significant improvement for PV over FV. We show improvement in speech recognition with the integration of Audio and Visual features. We also found it advantageous to process the visual features over a longer duration than the duration marked by the endpoints of the speech utterance.
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