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SimpleVR is a speaker-independent voice recognition module designed to add versatile, robust and cost effective speech and voice recognition capabilities to almost any application. Different from another voice recognition module Speak Recognition, Voice Recognition Module V3, SimpleVR is speaker. The speech recognition software developed in this chapter has been used for two sets of trained words: the two words yes and no and the words for the range of single­ digit numbers zero through nine.

Posted in, Tagged,, Post navigation. 60% is comparing apples and oranges, however I have to compliment Arjo on the nice work: being able to recognize a few words (too many conflicts with just 6 phonemes) vs. Being able to recognize the whole vocabulary. When I was at the end of high school, about 17 years ago, I wrote something quite close to this project for 386, similar to the Atmega in processing power. Although my approach was quite a bit more complex (sliding hamming windows > cepstral coefficients > a small multi-layer perceptron whose output where the set of words it recognized) it performed not much better than Arjo’s. Splitting the problem into recognizing phonemes and then using that knowledge in a second phase is the key and that’s something widely adopted in modern speech recognition systems.

No problem, Call Recorder records that too. Handing off a call from your iPhone? It's that simple.

Computer-human interaction and artificial intelligence can provide us the power that human mind may not even think of. PROBLEM STATEMENT Main Features Reading data from Audio Input source. Identify the words being said and recognize the language in it. Process the data & provide response. Scope of work Computer Interaction Handicapped People Voice over interactions Schools/Libraries Malls/ Theater Teaching system Gaming and Fun System Process Diagram How it Works? Recognition Acoustic Modeling Spoken words: “I think there are.” Phonemes: ‘ ay th-in-nk-kd dh-eh-r aa-r’ Speech Engine VOICE Training Can be done by: Predetermined text segments Individual words Compare new acoustic with old and combines More training = better recognition Done by using Microsoft Speech SDK. Agent Characters Artificial Cartoon characters for interaction Robotics System Interaction System Shopping Behavioral science Telecommunication Audio Input Existing System Currently available human–computer interfaces do not take complete advantage of the valuable communicative media and thus are unable to provide the full benefits of natural interaction to the users.