Audio-based automatic speech recognition as a hearing aid is susceptible to background noise and overlapping speeches. Consequently, audio-visual has been developed complement the audio input with additional visual information. However, huge improvement of neural networks in task resulted robust reliable lip reading framework that can recognize from alone. In this work, we propose model predict...

This paper proposes a novel lip-reading driven deep learning framework for speech enhancement. The approach leverages the complementary strengths of both and analytical acoustic modeling (filtering-based approach) as compared to benchmark approaches that rely only on learning. proposed audio-visual (AV) enhancement operates at two levels. In first level, based regression model is employed. seco...

Today’s Automatic Speech Recognition systems only rely on acoustic signals and often don’t perform well under noisy conditions. Performing multi-modal speech recognition processing acoustic speech signals and lip-reading video simultaneously significantly enhances the performance of such systems, especially in noisy environments. This work presents the design of such an audio-visual system for ...

introduction: the purpose of this study was comparison of three different methods of presenting tv programs and their impacts on receptive language of deaf people in two stages of consideration in isfahanian population. (1- providing program by sign language and lip reading method; presented by a deaf interpreter 2- providing program by lip reading method; presented by a tv broadcaster 3- provi...

Lip reading is the ability to partially understand speech by looking at the speaker's lips. It improves the intelligibility of speech in noise when audio-visual perception is compared with audio-only perception. A recent set of experiments showed that seeing the speaker's lips also enhances sensitivity to acoustic information, decreasing the auditory detection threshold of speech embedded in no...

UNLABELLED Lip reading (LR) is unconsciously practiced as we communicate and has currently been widely used in the assessment of hearing impaired people. The hearing challenged individual is able "to read" lip position and thus interpret the speech sounds of the speaker; however, it is very likely that the best lip reader can only catch 50% of the words uttered. METHODOLOGY 30 individuals of ...

Previous research has demonstrated that listeners make use of both auditory and visual information in bimodal speech perception. Preschool children appear to evaluate and integrate the two sources of information in the same manner as adults, but the children are less influenced by the visual source. The current experiments test a possible explanation of this difference and extend the question t...

Most connectionist research has focused on learning mappings from one space to another (eg. classiication and regression). This paper introduces the more general task of learning constraint surfaces. It describes a simple but powerful architecture for learning and manipulating nonlinear surfaces from data. We demonstrate the technique on low dimensional synthetic surfaces and compare it to near...

Human interaction through speech is a multisensory activity, wherein the spoken audio is perceived using both auditory and visual cues. However, in the absence of auditory stimulus, speech content can be perceived through lip reading, using the dynamics of the social context. In our earlier work [1], we had presented a tool enabling hearing impaired to understand spoken speech in videos, throug...

Problem statement: Deaf and dumb needs assistance from a technical box that takes movements of lips to identify the words. This technical article provided appropriate model implementation of flexible lip model for better visual lip reading system. Approach: From the frame sequence of words, Active Shape Model (ASM) based lip model provided local tracking and extraction of geometric lip-feature....