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Large-vocabulary Audio-visual Speech Recognition in Noisy ...
https://deepai.org/publication/large-vocabulary-audio-visual-speech-recognition-in-noisy-environments#:~:text=Audio-visual%20speech%20recognition%20%28AVSR%29%20is%20motivated%20by%20the,benefit%20to%20human%20listening%20and%20comprehension%20%5B%206%5D.
Audio visual speech recognition in noisy visual ...
https://dl.acm.org/doi/10.1145/2141622.2141646
Home Conferences PETRA Proceedings PETRA '11 Audio visual speech recognition in noisy visual environments. research-article . Audio visual speech recognition in noisy visual environments. Share on. Authors: Georgios Galatas.
(PDF) Audio visual speech recognition in noisy visual ...
https://www.researchgate.net/publication/221410550_Audio_visual_speech_recognition_in_noisy_visual_environments
HMM-based audio-visual speech recognition (AVSR) systems have shown success in continuous speech recognition by combining visual and audio information, especially in noisy environments.
Audio visual speech recognition in noisy visual ...
https://www.deepdyve.com/lp/association-for-computing-machinery/audio-visual-speech-recognition-in-noisy-visual-environments-v9dzw7Cru0
Audio-visual speech recognition (AVSR) can be of help in such environments, especially under the presence of audio noise. However the impact of visual noise to its performance has not been studied sufficiently in the literature.
Large-vocabulary Audio-visual Speech Recognition in Noisy ...
https://paperswithcode.com/paper/large-vocabulary-audio-visual-speech
Large-vocabulary Audio-visual Speech Recognition in Noisy Environments. Audio-visual speech recognition (AVSR) can effectively and significantly improve the recognition rates of small-vocabulary systems, compared to their audio-only counterparts. For large-vocabulary systems, however, there are still many difficulties, such as unsatisfactory video recognition …
Two-Layered Audio-Visual Speech Recognition for Robots in ...
http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_IROS_2010/data/papers/1196.pdf
T wo-Layered Audio-Visual Speech Recognition for Robots in Noisy Environments Takami Yoshida, Kazuhiro Nakadai, and Hiroshi G. Okuno. Abstract Audio-visual (AV) integration is one of the key ideas to improve perception in noisy real-world environments. This paper describes automatic speech recognition (ASR) to
Robust Self-Supervised Audio-Visual Speech Recognition
https://arxiv.org/abs/2201.01763
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 information that is invariant to …
Audio-Visual Speech Recognition | Papers With Code
https://paperswithcode.com/task/audio-visual-speech-recognition/codeless
Large-vocabulary Audio-visual Speech Recognition in Noisy Environments. ... While audio-visual speech recognition can significantly improve the recognition rate of end-to-end models in such poor conditions, it is not obvious how to best utilize any available information on acoustic and visual signal quality and reliability in these models.
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.
(PDF) Seeing Voices in Noise: A Study of Audiovisual ...
https://www.academia.edu/70400139/Seeing_Voices_in_Noise_A_Study_of_Audiovisual_Enhanced_Vocoded_Speech_Intelligibility_in_Cochlear_Implant_Simulation
Speech perception is a key to verbal communication. For people with hearing loss, the capability to recognize speech is restricted, particularly in the noisy environment. This study aimed to understand the improvement for vocoded speech
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