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Phonetic recognition by recurrent neural networks working on audio and visual information
1996
Speech Communication
A phonetic classification scheme based on a feed forward recurrent back-propagation neural network working on audio and visual information is described. The speech signal is processed by an auditory model producing spectral-like parameters, while the visual signal is processed by a specialised hardware, called ELITE, computing lip and jaw kinematics parameters. Some results will be given for various speaker dependent and independent phonetic recognition experiments regarding the Italian plosive consonants. *
doi:10.1016/0167-6393(96)00034-9
fatcat:twjse5vl3jf77iefvqre3rsike