Speech is the most familiar and habitual way of communication used by us. Due to speech disabilities, many people find it difficult properly voice their views thus are at a disadvantage. The research tackles issue lack from impaired user recognizing with use ML models such as Gaussian Mixture Model - GMM Convolutional Neural Network CNN. With recorded cleaned muscle activity facial muscles poss...

Containerization has been mainly used in pure software solutions, but it is gradually finding its way into the industrial systems. This paper introduces edge container with artificial intelligence for speech recognition, which performs voice control function of actuator as a part Human Machine Interface (HMI). work proposes procedure creating voice-controlled applications modern hardware and re...

Speech recognition technologies are becoming more and part of our lives, providing a convenient way to control variety electronic devices - voice control. One the current problems that is solved in development such systems problem insufficient accuracy command recognition. Improvements being made increase reliability, independence from individual characteristics, reduce negative impact backgrou...

This paper proposes a new method for text-dependent speaker recognition. The scheme is based on learning (what we refer to as) speaker-specific compensators for each speaker in the system. The compensator is essentially a speaker to speaker transformation which enables the recognition of the speech of one speaker through a speaker-dependent speech recognition system built for the other. Such a ...

This paper presents an experimental system for the combination of three areas of visual cues to aid recognition. The research is aimed at investigating the possibility of using this combination of information for scene description for the visually impaired. The areas identified as providing suitable visual cues are motion, shape and colour. The combination of these provide a significant amount ...

Automatic sign language recognition (ASLR) is a special case of automatic speech recognition (ASR) and computer vision (CV) and is currently evolving from using artificial labgenerated data to using ’real-life’ data. Although ASLR still struggles with feature extraction, it can benefit from techniques developed for ASR. We present a large-vocabulary ASLR system that is able to recognize sentenc...