This paper presents an approach to the recognition of speech signal using frequency spectral information with Mel frequency for the improvement of speech feature representation in a HMM based recognition approach. A frequency spectral information is incorporated to the conventional Mel spectrum base speech recognition approach. The Mel frequency approach exploits the frequency observation for s...

The cellular phone offers significant benefits but causes several social problems. One such problem is phone use in places where people should not speak, such as trains and libraries. A communication style that would not require voiced speech has the potential to solve this problem. Speech recognition based on electromyography (EMG), which we call "Mime Speech Recognition" is proposed. It not o...

Automatic speech recognition is critical in natural human-centric interfaces for ambient intelligence. The performance of an automatic speech recognition system, however, degrades drastically when there is a mismatch between training and testing conditions. The aim of robust speech recognition is to overcome the mismatch problem so the result is a moderate and graceful degradation in recognitio...

the geometric distribution of states duration is one of the main performance limiting assumptions of hidden markov modeling of speech signals. stochastic segment models, generally, and segmental hmm, specifically, overcome this deficiency partly at the cost of more complexity in both training and recognition phases. in this paper, a new duration modeling approach is presented. the main idea of ...

This paper discusses the use of speech recognition techniques in non-speech sound recognition. It analyses the different techniques used for speech recognition and identifies those that can be used for non-speech sound recognition. It then performs benchmarks on two of these techniques (LVQ and ANN’s) and determines which technique is better suited for non-speech sound recognition. As a compari...