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Audio-visual feature fusion via deep neural networks for ...
https://www.sciencedirect.com/science/article/pii/S1051200418305050#:~:text=The%20Audio%20Visual%20Speech%20Recognition%20%28AVSR%29%20task%20is,modalities%20with%20different%20characteristics%20to%20generate%20its%20outputs.
(PDF) Audio-visual automatic speech recognition: An ...
https://www.academia.edu/18372567/Audio_visual_automatic_speech_recognition_An_overview
The visual front end design and the audio-visual fusion modules introduce additional challenging tasks to automatic recognition of speech, as compared to traditional audio-only ASR. They are discussed in detail in this chapter. visibility of articulators, such as the tongue, teeth, and lips.
(PDF) Audio-Visual Automatic Speech Recognition: An …
https://www.researchgate.net/publication/244454816_Audio-Visual_Automatic_Speech_Recognition_An_Overview
The visual front end design and the audio-visual fusion modules introduce additional challenging tasks to automatic recognition of speech, as compared to traditional audio-only ASR. They are ...
Audio-Visual Automatic Speech Recognition: An …
https://www.researchgate.net/profile/Iain-Matthews-2/publication/244454816_Audio-Visual_Automatic_Speech_Recognition_An_Overview/links/0046353bea8cfa31d3000000/Audio-Visual-Automatic-Speech-Recognition-An-Overview.pdf
Automatic recognition of audio-visual speech introduces new and challenging tasks compared to traditional, audio-only ASR. The block-diagram of Figure 1 highlights these: In …
Audio-Visual Automatic Speech Recognition: An Overview ...
https://www.semanticscholar.org/paper/Audio-Visual-Automatic-Speech-Recognition%3A-An-Potamianos-Neti/afb50fe3d6490ad5cd0b624ac72e569fbf33f619
This work investigates the use of visual, mouth-region information in improving automatic speech recognition (ASR) of the speech impaired, and compares audio-only and audio-visual speaker-adapted ASR of the single speech impaired subject to ASS of subjects with normal speech, over a wide range of audio channelsignal-to-noiseratios.
[PDF] CHAPTER 10 Audio-Visual Automatic Speech …
https://www.semanticscholar.org/paper/CHAPTER-10-Audio-Visual-Automatic-Speech-%3A-An-Potamianos-Neti/4f3656da4cbd1979a5fa763f90defa1f90d53583
CHAPTER 10 Audio-Visual Automatic Speech Recognition : An Overview. We have made significant progress in automatic speech recognition (ASR) for well-defined applications like dictation and medium vocabulary transaction processing tasks in …
Audio-visual automatic speech recognition: An overview. (2004)
https://citeseer.ist.psu.edu/showciting?cid=82255
In this paper we review the major approaches to Multimodal Human Computer Interaction, giving an overview of the field from a computer vision perspective. In particular, we focus on body, gesture, gaze, and affective interaction (facial expression recognition and emotion in audio).
Audio-visual automatic speech recognition and related ...
https://ieeexplore.ieee.org/document/5373530
Summary form only given. The presentation will provide an overview of the main research achievements and the state-of-the-art in the area of audiovisual speech processing, mainly focusing in the area of audio-visual automatic speech recognition. The topic has been of interest in the speech research community due to the potential of increased robustness to …
Automatic Speech Recognition - an overview | …
https://www.sciencedirect.com/topics/engineering/automatic-speech-recognition
Automatic speech recognition is a high-tech that makes machine turn the speech signal to the corresponding text or command after recognizing and understanding. Automatic speech recognition (ASR) includes the extraction and determination of the acoustic feature, the acoustic model, and the language model.
An audio-visual corpus for speech perception and …
https://pubmed.ncbi.nlm.nih.gov/17139705/
An audio-visual corpus has been collected to support the use of common material in speech perception and automatic speech recognition studies. The corpus consists of high-quality audio and video recordings of 1000 sentences spoken by each of 34 talkers. Sentences are simple, syntactically identical phrases such as "place green at B 4 now".
Audiovisual speech recognition: A review and forecast ...
https://journals.sagepub.com/doi/full/10.1177/1729881420976082
Audiovisual speech recognition is a favorable solution to multimodality human–computer interaction. For a long time, it has been very difficult to develop machines capable of generating or understanding even fragments of natural languages; the fused sight, smelling, touching, and so on provide machines with possible mediums to perceive and …
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