Voice Recognition Anatomy, Processing, Uses and Application in C#

Abstract

The summary of this research is that to represent the voice recognition anatomy, processing and application, basically human anatomy of voice recognition and processing system involves (Ears, Brain and tongue) are the major part, as same modern computer and mobile has this mechanism. Briefly auditory cortex receives the sharp tuning tones, the ventral stream supports the recognition of the contents of auditory information. Neuro Anatomy voice/language specific, Brain has the capability of decision power in frontal lobe processes and understands and then reply through best suitable answers in the same linguistic. Languages processes on a set of transformational mappings acoustically presents sentences onto a judgement of grammatical conceptual representation through tongue. From the digital perspective, modern computers and smart phones has same anatomy of voice recognition and processing system just like human have, like (Speaker, Microcontroller or (Microprocessor Ram Hard disk), Mic or analog to digital converter, GPRS, Internet, Sensors Smart Mobile have). Unfortunately, Smart devices do not have accurate thinking power and do not have decision power for the right and wrong, if we try to resolve the problem of thinking in computer, we can resolve it through the searching mechanism in internet but computer can’t differentiate in right and wrong, still we have not the hundred person of capability of right and wrong decision in real life and we learn through the different experiences in life. This is the main problem where the AI might slow or stop in digital system. On that basis we can only pre-define feed words or voice command reply in voice recognition and processing system. The applications which type have searching through sensors, detractors, command control of appliances and equipment, Telephone assistance systems, Speech control toys, speech and voice recognition security systems, weather forecast through satellites, detect through GPRS and dictionary base are successful in voice recognition application, There are three major failures in voice recognition application, first is distortion and loud noise cannot recognize properly if we focus on sound or saves the listing sound waves frequency and second is homonyms like if you say be or bee, there or their like Google and Wolfram Alpha apps do and third one is without pre-define feed words or Command base, voice recognition application does not tell truth like Cortana, IBM Watson super computer, where is your father?, if your father has been passed away.