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Multimodal learning using 3D audio-visual data for audio ...
https://ieeexplore.ieee.org/abstract/document/8300541#:~:text=Abstract%3A%20Recently%2C%20various%20audio-visual%20speech%20recognition%20%28AVSR%29%20systems,%28AV%29%20corpus%20with%20the%20lower%20video%20sampling%20rate.
(PDF) Audio-visual and Multimodal Speech Systems
https://www.researchgate.net/publication/2279213_Audio-visual_and_Multimodal_Speech_Systems
Audio-visual and Multimodal Speech Systems. ... distributed multimodal systems is reduced in a transparent manner through multimodal frameworks that handle …
Audio-visual and multimodal speech-based systems ...
https://link.springer.com/chapter/10.1007/978-1-4615-4501-9_2
Gibbon D., Mertins I., Moore R.K. (2000) Audio-visual and multimodal speech-based systems. In: Gibbon D., Mertins I., Moore R.K. (eds) Handbook of Multimodal and Spoken Dialogue Systems. The Springer International Series in Engineering and Computer Science, vol 565.
Audio-visual and multimodal speech systems (2000)
https://citeseer.ist.psu.edu/showciting?cid=1417984
Audio-visual and multimodal speech systems (2000) by C Benoit, J C Martin, C Pelachaud, L Schomaker, B Suhm Venue: In D. Gibbon: Add To MetaCart. Tools. Sorted by: Results 1 - 10 of 16. Next 10 → Multimodality In Language And Speech Systems - …
Multimodal Corpus Design for Audio-Visual Speech ...
https://ieeexplore.ieee.org/document/9364986/
We present an analysis of speech recognition systems and voice interfaces for driver monitoring systems based on the analysis of both audio and video data. Multimodal speech recognition allows using audio data when video data are useless (e.g. at nighttime), as well as applying video data in acoustically noisy conditions (e.g., at highways). Our …
(PDF) Audio-Visual Speech Enhancement based on …
https://www.academia.edu/70389353/Audio_Visual_Speech_Enhancement_based_on_Multimodal_Deep_Convolutional_Neural_Networks
1 Audio-Visual Speech Enhancement Based on Multimodal Deep Convolutional Neural Networks Jen-Cheng Hou, Syu-Siang Wang, Ying-Hui Lai, Yu Tsao, Member, IEEE, Hsiu-Wen Chang, and Hsin-Min Wang, Senior Member, IEEE the intelligibility and quality of noisy speech signals by reduc- Abstract—Speech enhancement (SE) aims to reduce noise in ing the noise components of …
Audio-Visual Speech Separation and Dereverberation With a ...
https://web.cse.ohio-state.edu/~tan.650/doc/papers/TXZYY.jstsp20.pdf
Houet al.[17] designed an audio-visual speech enhancement framework based on multi-task learning. Their experimental results show that the audio-visual enhance- mentframeworkconsistentlyoutperformsthesamearchitecture without visual inputs. A similar model is developed in [9], where a CNN is trained to directly estimate the magnitude
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