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[1809.02108] Deep Audio-Visual Speech Recognition
https://arxiv.org/abs/1809.02108
Deep Audio-Visual Speech Recognition. Authors: Triantafyllos Afouras, Joon Son Chung, Andrew Senior, Oriol Vinyals, Andrew Zisserman. Download PDF. Abstract: The goal of this work is to recognise phrases and sentences being spoken by a talking face, with or without the audio. Unlike previous works that have focussed on recognising a limited ...
[1409.1411] Visual Speech Recognition - arXiv
https://arxiv.org/abs/1409.1411
Download PDF Abstract: ... (HCI), audio-visual speech recognition (AVSR), speaker recognition, talking heads, sign language recognition and video surveillance. Its main aim is to recognise spoken word(s) by using only the visual signal that is produced during speech. Hence, VSR deals with the visual domain of speech and involves image ...
[2109.09536] Audio-Visual Speech Recognition is Worth …
https://arxiv.org/abs/2109.09536
Download PDF Abstract: Audio-visual automatic speech recognition (AV-ASR) introduces the video modality into the speech recognition process, often by relying on information conveyed by the motion of the speaker's mouth. The use of the video signal requires extracting visual features, which are then combined with the acoustic features to build an AV-ASR system …
Transformer-Based Video Front-Ends for Audio-Visual …
https://arxiv.org/abs/2201.10439v1
Download PDF Abstract: Audio-visual automatic speech recognition (AV-ASR) extends the speech recognition by introducing the video modality. In particular, the information contained in the motion of the speaker's mouth is used to augment the audio features. The video modality is traditionally processed with a 3D convolutional neural network (e.g. 3D version of …
Robust Self-Supervised Audio-Visual Speech Recognition
https://arxiv.org/abs/2201.01763
Download PDF Abstract: Audio-based automatic speech recognition (ASR) degrades significantly in noisy environments and is particularly vulnerable to interfering speech, as the model cannot determine which speaker to transcribe. Audio-visual speech recognition (AVSR) systems improve robustness by complementing the audio stream with the visual …
(PDF) Audio visual speech recognition - ResearchGate
https://www.researchgate.net/publication/37432842_Audio_visual_speech_recognition
The audio-visual automatic speech recognition (AV-ASR, [2, 3,4]) adds the video modality to the traditional speech recognition. It has been shown that …
Project - Profile-Frontal Audio-Visual Speech Recognition
http://chenlab.ece.cornell.edu/projects/PFAV/
We also plan for audio-visual speech recognition, where we can enhance audio only speech recognition in noisy environments with visual modality information. Lipreading is the process of combining the audio and visual modalities to obtain better recognition accuracy than with either of individual modalities.
Audio-Visual Speech Recognition - Papers With Code
https://paperswithcode.com/task/audio-visual-speech-recognition/codeless
Audio-Visual Speech Recognition is Worth 32 × 32 × 8 Voxels. no code yet • 20 Sep 2021. In this work, we propose to replace the 3D convolutional visual front-end with a video transformer front-end. Audio-Visual Speech Recognition automatic-speech …
Audio-Visual Speech Processing - Cornell University
http://chenlab.ece.cornell.edu/projects/AudioVisualSpeechProcessing/
We explore the problem of enhancing the speech recognition in noisy environments (both Gaussian white noise and cross-talk noise cases) by using the visual information such as lip movements. We use a novel Hidden Markov Model (HMM) to model the audio-visual bi-modal signal jointly, which shows promising result for recognition.
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