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A cascade gray-stereo visual feature extraction method for ...
https://www.sciencedirect.com/science/article/pii/S0167639315300789#:~:text=As%20an%20alternative%20to%20DCT%2C%20Zhao%20et%20al.,the%20temporal%20domains%20%28i.e.%2C%20Three%20Orthogonal%20Planes%20%28TOP%29%29.
Comparison Between Different Feature Extraction …
https://www.researchgate.net/profile/Jacek-Wojdel/publication/225820483_Comparison_between_different_feature_extraction_techniques_for_audio-visual_speech_recognition/links/0f31753be883629e71000000/Comparison-between-different-feature-extraction-techniques-for-audio-visual-speech-recognition.pdf
Comparison Between Different Feature Extraction Techniques for Audio-Visual Speech Recognition ... We will show that the audio-video recognition based on the true motion features outperforms the ...
Comparison Between Different Feature Extraction Techniques ...
http://ii.tudelft.nl/pub/leon/AGChitu.pdf
Comparison Between Different Feature Extraction Techniques for Audio-Visual Speech Recognition Received: date / Accepted: date Abstract Having a robust speech recognition system that can be relied upon in different environments is a strong requirement for modern systems. However audio-only speech recognition still lacks robustness when the
ISSN : 2454-9150 Robust feature extraction for visual ...
https://www.ijream.org/papers/NCRICE1925.pdf
where as sound features for speaker recognition is a mature field of research with many successful techniques developed to achieve high level of accuracy. The objective of this paper is to recognize such a robust feature for speech and speaker recognition. In audio-visual recognition literature, there exist three alternative representations for lip information: 1) lip …
(PDF) Comparison between different feature extraction ...
https://www.researchgate.net/publication/225820483_Comparison_between_different_feature_extraction_techniques_for_audio-visual_speech_recognition
Signal processing pipeline for the audio-visual speech recognition system based on LGE feature extraction technique. Pairs of d M (α) and d σ (α) 2 vectors extracted from a …
Automatic Visual Feature Extraction for Mandarin Audio ...
http://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/IEEE_SMC_2009/PDFs/549.pdf
robust audio and visual speech feature extraction algorithm needs to be developed. Secondly, fusion method of the two separate information sources needs to be designed. In this paper, our main focus is the visual feature extraction and the effect of these features to the recognition accuracy. We proposed an algorithm to extract visual speech features.
Comparison Between Different Feature Extraction …
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.216.9277
Until now the visual features used were static features which describe the face of the user at one instance in time only. In the paper [1] the authors have shown that most of the techniques used for extraction of static visual features result in equivalent features or at least the most informative features exhibit this.
A cascade gray-stereo visual feature extraction method …
https://www.sciencedirect.com/science/article/pii/S0167639315300789
The visual features used in visual and audio-visual speech recognition can be divided into three main categories: i) lip appearance-based features; ii) lip shape-based features; and iii) lip motion-based features (Cetingul et al., 2006). In most visual and audio-visual speech recognition systems, lip motion-based features work collaboratively with the first two types of …
Visual Speech Recognition - IJERT
https://www.ijert.org/visual-speech-recognition
Visual speech recognition is a process of conversion of speech to text in the absence of audio where the lip features of the person are extracted to track the pattern formed. This paper also contains the overview of different Machine Learning algorithms and image processing procedures to effectively extract and track the lip movements.
Comparison between different feature extraction techniques ...
https://link.springer.com/article/10.1007/BF02884428
Abstract. The current audio-only speech recognition still lacks the expected robustness when the Signal to Noise Ratio (SNR) decreases. The video information is not affected by noise which makes it an ideal candidate for data fusion for speech recognition benefit. In the paper [1] the authors have shown that most of the techniques used for extraction of static visual features …
A Review of Audio-Visual Speech Recognition Prepocessing ...
http://umpir.ump.edu.my/id/eprint/21637/1/A%20review%20of%20audio-visual%20speech%20recognition.pdf
on all steps are explained in the following sections. Feature extraction techniques act as an important role in AVSR, which enhances the performance of the speech recognition system. If the essential information of audio and visual features is extracted perfectly, it is projected to achieve an effective AVSR system.
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