Visual Speech
Dynamic Bayesian Networks for Audio Visual Speech Recognition
... audio- visual speech ...for visual observation sequences, are par- ticularly ...and visual state asynchrony, while still preserving the natural correla- tion of the audio and visual ...
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Audio visual speech perception: a developmental ERP investigation
... for speech perception in ...available visual speech cues until age 8 or ...audio-visual speech perception in adults, with visual cues reliably modulating auditory ERP responses ...
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Audio-visual speech perception: a developmental ERP investigation
... audio-visual speech perception (Nath, Fava & Beauchamp, ...audio-visual speech in adults and 8- to 11-year-old children, and found that while the same areas were involved in perception for ...
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Multi-pose lipreading and audio-visual speech recognition
... final visual speech features of complete profile images to a frontal viewpoint with a linear ...the visual speech features of different poses, are limited to the extreme cases of completely ...
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On the Importance of Audiovisual Coherence for the Perceived Quality of Synthesized Visual Speech
... of speech samples were used for this test (see Table 1), with each sample contain- ing one average length English ...audiovisual speech samples selected from the LIPS2008 ...the visual mode by ...
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Congruent Visual Speech Enhances Cortical Entrainment to Continuous Auditory Speech in Noise Free Conditions
... the speech envelope and visual ...anticipatory visual motion could pro- duce phasic variations in visual cortical activity that are relayed to auditory cortex and that correlate with the ...
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Noise Adaptive Stream Weighting in Audio Visual Speech Recognition
... When looking at the fusion of audio and video data for audio-visual speech recognition, the first question to be ad- dressed is where the fusion of the data takes place. Several di ff erent architectures for ...
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Audio Visual Speech Recognition Using MPEG 4 Compliant Visual Features
... the visual information of the speaker’s mouth region is the main objective of ...AVSR. Visual features, usually extracted from the mouth area, thought to be the most useful for ASR are the outer lip ...
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Audio-visual speech in noise perception in dyslexia
... audio- visual speech processing depend on the ...adults, speech perception is maximally enhanced by lip- reading at a specific ...where visual articulatory information is largely redundant due ...
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Facial Expression and Visual Speech based Person Authentication
... score is near one, when identical data is used for training and testing. For computing the normalized squared error (e), the output of the model is compared with the input. The normalized squared error for the feature ...
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Analysis and Determination of Inner Lip Texture Descriptors for Visual Speech Representation
... The first class of algorithm focuses on geometric-based feature such as lip contour. This category of techniques employ algorithms such as ASM (Active Shape Model) [5], snake algorithms [6] and AAM (Active Appearance ...
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Using Visual Speech Information in Masking Methods for Audio Speaker Separation
... how visual speech information can be used in mask estimation for speaker ...and visual speech features [23], [24], [25], [26], [27] and by advances in audio- visual speech ...
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BIPOLAR DISORDER & AUDITORY-VISUAL SPEECH 2
... that speech perception involves visual speech information in the form of lip and mouth ...and visual speech information to yield a single ...of speech perception process in terms ...
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Voicing classification of visual speech using convolutional neural networks
... Neural networks are learning algorithms where inputs are fed through a series of layers comprised of units (also called neu- rons), where each unit has a non-linear activation function. An example fully-connected neural ...
6
Separation of Audio Visual Speech Sources: A New Approach Exploiting the Audio Visual Coherence of Speech Stimuli
... the visual input to enhance the audio signal corrupted by acoustic additive white ...of speech signals (the cocktail-party ...of speech signal sepa- ...of speech and on the intrinsic coher- ...
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Audio-to-Visual Speech Conversion using Deep Neural Networks
... audio-visual speech datasets are either of limited vocabulary or size [25–27] and provide insufficient data for training a ...audio-visual speech dataset containing a male actor speaking ≈2500 ...
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The impact of the Lombard effect on audio and visual speech recognition systems
... three speech-in-noise recognition ...Lombard speech having been exclusively trained on normal ...Lombard speech was normalised to match the level of normal ...Lombard speech affords a large ...
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Weighting and Normalisation of Synchronous HMMs for Audio-Visual Speech Recognition
... final speech-recognition ...average speech recognition performance occurs with the streams weighted at around 80% audio and 20% ...performing speech system is closer to equal that appears to be ...
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Resolution limits on visual speech recognition
... We have shown that the performance of simple visual speech recognizers has a threshold effect with resolution. For suc- cessful lip-reading one needs a minimum four pixels across the closed lips. However ...
5
Visual Speech Recognition Using a 3D Convolutional Neural Network
... Visual speech recognition (VSR) is the ability to extract spoken words from a video of an individual talking without the use of audio data, which can otherwise be known as lip ...audio-based speech ...
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