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Many recent studies show that Augmented Reality (AR) and Automatic Speech Recognition (ASR) technologies can be used to help people with disabilities. Many of these studies have been performed only in their specialized field. Audio-Visual Speech Recognition (AVSR) is one of the advances in ASR technology that combines audio, video, and facial expressions to(More)
This paper highlights the differences in spectral features between British, Australian and American English accents and applies the cross-entropy information measure for comparative quantification of the impacts of the variations of accents, speaker groups and recordings on the probability models of spectral features of phonetic units of speech. Comparison(More)
Recently, many researches show Augmented Reality (AR) and Automatic Speech Recognition (ASR) can help people with disabilities. In this paper we implement an innovative system for helping deaf people by combining AR, ASR, and AVSR technologies. This system can instantly take narrator's speech and converts it into readable text and shows it directly on AR(More)
Recently, many studies have shown that the Augmented Reality (AR), Automatic Speech Recognition (ASR) and Text-to-Speech Synthesis (TTS) can be used to help people with disabilities. In this paper, we combine these technologies to make a new system, called "ASRAR", for helping deaf people. This system can take a narrator's speech and convert it into a(More)
This paper proposes a method for the measurement and quantification of the impact of accents on speech models. An accent metric is introduced based on the cross entropy (CE) of the probability models of speech from different accents. The CE metric has potentials for use in analysis, identification, quantification and ranking of the salient features of(More)