User:Mrunmayee.halkunde/sandbox 2

My wikipedia topic is Voice controlled robot. Introduction Controlling robots can be done either by switches,some kind of wireless control mechanisms or voice based control system can be designed for the same purpose.Example of voice controlled robot can be dancing robot recognizing the tune of the music being played.Basic idea is to develop some menu driven control for a robot where menu is going to be voice driven.It should be capable of responding in some way to non-triggering voice commands. 1)Simple movements:The basic tasks that can be handled by robots are: a)move forward b)move backward c)turn right d)turn left e)stop So,this can be considered as small menu consisting of 5 commands.So the software that can recognize and distinguish the 5 commands from one another will do the job. 2)General idea about implementation: For every peripheral device,there is device controller associated with it.e.g for keyboard;device controller accepts the input i.e. keystrokes and convert them into ascii codes and they get stored into the local buffer of device controller.As soon as the input gets completed,device controller informs it to device driver through interrupt.And device driver in turn tells about the completion of the task to the operating system.So,here to recognize the voice,certain devices like device controllers are required to process the these voice signals and to identify them whether they are valid system commands or not.

Speech recognition types and styles Speech is the ideal method for robotic control and communication.Voice enabled devices basically use speech recognition techniques. Converting a speech waveforms into sequence of words involves several essential steps. 1)A microphone picks up the signal of the speech to be recognized and converts it into an electrical signal. A modern speech recognition system also requires that the electrical signal be represented digitally by means of an analog-to-digital (A/D) conversion process, so that it can be processed with a digital computer or a microprocessor. 2)This speech signal is then analyzed (in the analysis block) to produce a representation consisting of salient features of the speech. The most prevalent feature of speech is derived from its short-time spectrum, measured successively over short-time windows of length 20â€“30 milliseconds overlapping at intervals of 10â€“20 ms. Each short-time spectrum is transformed into a feature vector, and the temporal sequence of such feature vectors thus forms a speech pattern. 3)The speech pattern is then compared to a store of phoneme patterns or models through a dynamic programming process in order to generate a hypothesis (or a number of hypotheses) of the phonemic unit sequence. (A phoneme is a basic unit of speech and a phoneme model is a succinct representation of the signal that corresponds to a phoneme, usually embedded in an utterance.) A speech signal inherently has substantial variations along many dimensions. Speech recognition is classified into two categories.

Basic Circuit for Voice Controlled Robot