Speech Recognition by Image Processing of Lip Movements
نویسندگان
چکیده
منابع مشابه
Designing and implementing a system for Automatic recognition of Persian letters by Lip-reading using image processing methods
For many years, speech has been the most natural and efficient means of information exchange for human beings. With the advancement of technology and the prevalence of computer usage, the design and production of speech recognition systems have been considered by researchers. Among this, lip-reading techniques encountered with many challenges for speech recognition, that one of the challenges b...
متن کاملParameterisation of Speech Lip Movements
In this paper we describe a parameterisation of lip movements which maintains the dynamic structure inherent in the task of producing speech sounds. A stereo capture system is used to reconstruct 3D models of a speaker producing sentences from the TIMIT corpus. This data is mapped into a space which maintains the relationships between samples and their temporal derivatives. By incorporating dyn...
متن کاملParameterisation of 3d speech lip movements
In this paper we describe a parameterisation of lip movements which maintains the dynamic structure inherent in the task of producing speech sounds. A stereo capture system is used to reconstruct 3D models of a speaker producing sentences from the TIMIT corpus. This data is mapped into a space which maintains the relationships between samples and their temporal derivatives. By incorporating dyn...
متن کاملLip movements affect infants' audiovisual speech perception.
Speech is robustly audiovisual from early in infancy. Here we show that audiovisual speech perception in 4.5-month-old infants is influenced by sensorimotor information related to the lip movements they make while chewing or sucking. Experiment 1 consisted of a classic audiovisual matching procedure, in which two simultaneously displayed talking faces (visual [i] and [u]) were presented with a ...
متن کاملStream weight optimization of speech and lip image sequence for audio-visual speech recognition
Bimodal speech recognition systems, with the use of visual information to supplement acoustic information, have been shown to yield better recognition performance than purely acoustic systems, especially when background noise is present. The early integration strategy for HMM-based audio-visual speech recognition is one promising approach, where the output probability is obtaned by product of o...
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ژورنال
عنوان ژورنال: Transactions of the Society of Instrument and Control Engineers
سال: 1986
ISSN: 0453-4654
DOI: 10.9746/sicetr1965.22.191