Robust speech interaction in a mobile environment through the use of multiple and different media input types
نویسندگان
چکیده
Mobile and outdoor environments have long been out of reach for speech engines due to the performance limitations that were associated with portable devices, and the difficulties of processing speech in high-noise areas. This paper outlines an architecture for increasing speech recognition rates in a mobile pedestrian indoor/outdoor navigation environment, through the use of a media fusion knowledge component.
منابع مشابه
Robust speech interaction in a mobi use of multiple and differen
Mobile and outdoor environments have long been out of reach for speech engines due to the performance limitations that were associated with portable devices, and the difficulties of processing speech in high-noise areas. This paper outlines an architecture for attaining robust speech recognition rates in a mobile pedestrian indoor/outdoor navigation environment, through the use of a media fusio...
متن کاملAn Information-Theoretic Discussion of Convolutional Bottleneck Features for Robust Speech Recognition
Convolutional Neural Networks (CNNs) have been shown their performance in speech recognition systems for extracting features, and also acoustic modeling. In addition, CNNs have been used for robust speech recognition and competitive results have been reported. Convolutive Bottleneck Network (CBN) is a kind of CNNs which has a bottleneck layer among its fully connected layers. The bottleneck fea...
متن کاملComparing the Impact of Audio-Visual Input Enhancement on Collocation Learning in Traditional and Mobile Learning Contexts
: This study investigated the impact of audio-visual input enhancement teaching techniques on improving English as Foreign Language (EFL) learnersˈ collocation learning as well as their accuracy concerning collocation use in narrative writing. In addition, it compared the impact and efficiency of audio-visual input enhancement in two learning contexts, namely traditional and mo...
متن کاملA Challenging Issue in the Etiology of Speech Problems: The Effect of Maternal Exposure to Electromagnetic Fields on Speech Problems in the Offspring
Background: Nowadays, mothers are continuously exposed to different sources of electromagnetic fields before and even during pregnancy. It has recently been shown that exposure to mobile phone radiation during pregnancy may lead to adverse effects on the brain development in offspring and cause hyperactivity. Researchers have shown that behavioral problems in laboratory animals which have a s...
متن کاملImproving the performance of MFCC for Persian robust speech recognition
The Mel Frequency cepstral coefficients are the most widely used feature in speech recognition but they are very sensitive to noise. In this paper to achieve a satisfactorily performance in Automatic Speech Recognition (ASR) applications we introduce a noise robust new set of MFCC vector estimated through following steps. First, spectral mean normalization is a pre-processing which applies to t...
متن کامل