Automatic speech recognition

In these days when the technologies are developing so fast, language researches take a very important part. Probably the single most challenging problem in computer science is to develop computers that can understand natural language. Imagine asking your computer "When is the next televised basketball game?" or being able to tell your PC "Please format my homework the way my English professor likes it". Despite very substantial investment in speech technology research over the last 40 years, speech synthesis and speech recognition technologies still have significant limitations. Commercial products can already do some of these things, and AI scientists expect many more in the next decade. One goal of AI work in natural language is to enable communication between people and computers without resorting to memorization of complex commands and procedures.
The aim of my work is to overlook and represent the main problems of speech understanding and speech recognition problems as well as the main fields of application.
Speech understanding problems
According to Thierry Dutoit “speech can be described as the result of the coordinated action of a number of muscles” (Thierry Dutoit “Speech synthesis”, 2002 p.5). Air flow has to pass thought many speech implements, such as vocal cords, trachea, and velum and so on, to produce a sound. It is convenient to group speech sounds into boards phonetic classes, related to their manner of articulation. During researching language and the way people are speaking, where there was noticed such effects called phonemes reduction, assimilation and coarticulation. (Thierry Dutoit “Speech synthesis”, 2002 p.7). “Phonemes assimilation and reduction may result in the complete modification of a phonetic trait. Sounds that belong to one word can cause changes in sounds belonging to other words. Assimilation occurs when speech is rapid and casual.” For example: big cat → bik kat; far away → far...

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