Language Identification and Locale Based Web Browser: New Approach

―Voice recognition has come a long way in the last few years,‖ as said plain and simple by Judge Thomas C. Smith, author of Dictating to your Computer (for judges and lawyers) (1). What was once a sceptical and highly inaccurate, almost useless device, voice recognition is now an incredibly helpful and advanced tool. Voice recognition is defined by www.techtarget.com as simply, ―the ability of a machine or program to receive and interpret dictation, or to understand and carry out spoken commands.‖ In voice recognition, analog audio is converted into digital signals. A vocabulary of words and/or syllables and a quick way to compare the vocabulary with signals is necessary for a computer to change the human voice into a digital computer signal. The speech patterns of the user that has ―trained‖ the voice recognition software are saved to the hard drive and loaded into memory when the program is running. Language Identification is process of identifying the language being spoken from a sample of speech by an unknown speaker. Most of the previous work in this field is based on the fact that phoneme sequences have different occurrence probabilities in different languages, and all the systems designed till now have tried to exploit this fact. Keywords— Hidden Markov Model, Language Model, Phoneme Recognizer, Vector Quantization