Audio-visual speech recognition

<p>Audio visual speech recognition (AVSR) is a technique that uses <a href="/facts/Image_processing/zenalNCf">image processing</a> capabilities in <a href="/facts/Lip_reading/8IVVyCnj">lip reading</a> to aid <a href="/facts/Speech_recognition/z7S7Pgk6">speech recognition</a> systems in recognizing undeterministic <a href="/facts/Phone_(phonetics)/SDJtYApq">phones</a> or giving preponderance among near probability decisions.
</p><p>Each system of <a href="/facts/Lip_reading/8IVVyCnj">lip reading</a> and <a href="/facts/Speech_recognition/z7S7Pgk6">speech recognition</a> works separately, then their results are mixed at the stage of feature fusion. As the name suggests, it has two parts. First one is the audio part and second one is the visual part. In audio part we use features like log mel spectrogram, mfcc etc. from the raw audio samples and we build a model to get feature vector out of it . For visual part generally we use some variant of convolutional neural network to compress the image to a feature vector after that we concatenate these two vectors (audio and visual ) and try to predict the target object.
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Audio-visual speech recognition open-in-new

Audio-visual speech recognition