Speech Recognition

1085 words - 4 pages

Speech recognition is the process by which the computer uses special software that enables the computer to take in what is said by a specific human or humans and be able to translate it in computer language so that the computer could now act on the instructions given to it. Just like clicking with your mouse, typing on your keyboard, or pressing a key on the phone keypad provides input to an application, speech recognition allows you to provide input by talking. Speech is basically just another user interface, an input method, like using a mouse or a keyboard. According to Webster Speech recognition is simply, it “converts spoken words to text”. If you are not familiar with the term speech recognition it goes by other terms such as automatic speech recognition, computer speech recognition and speech to text. Speech recognition works like this, first you speak into a microphone that is connected to a computer with the speak recognition program running. Some speech recognition software’s just to name a few are VoiceAttack (used in gaming), Trigamtech(features for medical users) and WRSToolkit(for dictionary and grammar). While saying what you would like the computer to do for you, as you speak you would see the words as you say them pop up on your screen. Information that I came upon while doing my research stated that “You can speak at your normal speaking speed (about 120 words per minute) and the computer "guesses" using mathematical algorithms what word you mean in that context from what it knows about the English language.” Using speech recognition programs on computers are not going to give you for certain the exact information that you asked for but it works and tries to understand what it has been told and in the end gives you back probabilities to what it thinks you were asking for.

Before speech recognition on computers could be possible VoIP (Voice over Internet Protocol) had been first developed fully. Speech recognition has different starting points and evolutions. It is assumed that the technology began with Alexander Graham Bell’s inventions in the 1870s. Bell and his cousins invented a recording device and then later so did Thomas Edison. Thomas Edison invented a similar device which he called “Ediphone”. These machines recorded dictation of letters for a secretary to type. This was a step in the direction of a machine that could automatically transcribe the sound of a human voice. Since the time of Bell and Edison various technologies have emerged that has moved speech recognition along. In the 1990s The Cambridge University invented the most widely used software for automatic speech recognition research. The goal of many researchers is to develop a machine that performs and responds like a human being. For now, the technology is used in providing telephone support, writing medical reports, answering financial questions and in a variety of tasks requiring a human to machine interface, such as providing updated travel...

Find Another Essay On Speech Recognition

How Speech Recognition Works

637 words - 3 pages drives monkey feetJames is cool because he plays the guitarIt would switch over to the second sentence, because the first sentence quickly turned meaningless, while the second was both semantically and syntactically correct. This sort of "understanding" is imperative for a speech recognition engine, and especially one that has to deal with continuous speech.

Making a Speech Recognition System that Understands Malayalam Words

1144 words - 5 pages 1. INTRODUCTION Speech is the most effective mode of communication used by humans. Automatic speech recognition can be defined as a technology which enables a system to recognize the input speech signals and interpret the meaning, after which the system should be able to generate some control signals. 1.1 AIM Aim of this project is to realize an Automatic Speech Recognition system in hardware which is able to understand limited Malayalam words

Voice recognition software

826 words - 3 pages Voice recognition software systems are getting a lot closer in meeting goals of people with dictation needs. Voice recognition systems today can be used by anyone of any profession, unlike old voice recognition software where only certain professions like doctors, could use them. Several companies have came out with products that have changed voice recognition software. A breakthrough software and the first truely continuous speech

Speaker recognition

905 words - 4 pages extraction which transforms the raw speech signal into a compact but effectual representation that is comparatively more stable and discriminative than the original signal. A typical speaker recognition system comprises of the following phases: feature extraction, dimensionality reduction and classification [3]. In this work, in view of development of the effective large-scale recognition system, state-of-the-art methods have been proposed and conducted

Innovations in Handwriting Recognition

886 words - 4 pages classes (patterns). Quick development of neural networks promotes concept of the pattern recognition by proposing intelligent systems such as handwriting recognition, speech recognition and face recognition. In particular, Problem of handwriting recognition has been considered significantly during the last decades in the academic and industrial fields by employing types of direct matching. Performance of this recognition has been paying strong

Image Processing Based Finger-Vein Biometric Recognition System

2314 words - 9 pages for iris biometrics, or a complete picture of a face for face biometrics [4]. C. Voice Recognition Voice is a combination of physiological and behavioural biometrics.The Speech is most prominent & primary mode of Communication among of human being. The communication among human computer interaction is called human computer interface. Speech has potential of being important mode of interaction with computer [5]. Voice Recognition is a biometric

Free Speech Zones

2317 words - 10 pages ://www.huffingtonpost.com/2012/06/13/university-of-cincinnati-free-speech-zone_n_1594971.html Lukianoff, G. Foundation For Individual Rights in Education, (2007). Hampton university denies recognition to gay and lesbian student group without explanation. Retrieved from website: http://www.thefire.org/hampton-university-denies-recognition-to-gay-and-lesbian-student-group-without-explanation/ Zick, Timothy (2009). Speech Out of Doors: Preserving First Amendment Liberties in Public Places. Cambridge University Press, pp. 260-61.

Speech Processing Filtering Through Various Multi-Channel Cochlear Implants

2289 words - 9 pages (NIDCD,2013). While many recipients of this innovative device report various levels of success, there remain to be common reports of difficulty with speech processing, especially in the presence of noise. These patient concerns, while complex in each individual case, poses the research question of how many electrodes (or channels) in a cochlear implant are necessary for good speech recognition? This question will be analyzed further in this paper in

Voice Recognition Systems

1248 words - 5 pages voice. Dragon Systems The unprecented leader in voice recognition technology is a company called Dragon Systems. Dragon Systems continues to pursue the natural speech revolution through its reasearch and development efforts. Through the work of this company, voice speech technology has become not only a reality, but a standard part of the computing industry. Dragon Systems was co-founded by Dr. James Baker and Dr. Janet Baker in 1982 and is

Chapter Two: Review of the Related Literature

1212 words - 5 pages circumstances where the segmentation of words falls outside of present knowledge or when the segmentation of words is completely ambiguous. In these circumstances, acoustic cues aid in the segmentation and recognition of words. Acoustic Speech Signals Numerous acoustic speech signals are known to affect how words are segmented, but two of the most noted are timing and prosody, the pitch and rhythm of speech. Similar to knowledge-driven processes

The New Standard: VoiceXML

1286 words - 5 pages costs and deliver superior service. This standard has almost revolutionized the way that companies handle automated calls. This standard has started a competitive market for other platforms that enable businesses to improve all processes of their customer care and communication over the phone. VoiceXML or VXML is an open standard for building and controlling intelligent voice applications that incorporate speech recognition and text to speech

Similar Essays

Speech Recognition

2547 words - 10 pages Speech Recognition Speech recognition is a computer application that lets people control a computer by speaking to it. In other words, rather than using a keyboard and mouse to communicate with the computer, the user speaks commands into a microphone that is connected to a computer. By speaking into the microphone, users can do two things. First, they can tell their computers to execute some commands such as open a document, save changes

Speech Recognition

1064 words - 5 pages Speech is the common basic way we communication with each other. The development of voice biometrics is one that emerged to allow a user to input their voice into a computer system. It is a growing technology which provides security in computers. A speech recognition system is designed to assist the user to complete what that person wants to say versus having a person transcribe it. The first step in voice recognition is for the user to be

Speech Recognition

2808 words - 11 pages Speech Recognition Nowadays, computer systems play a major role in our lives. They are used everywhere beginning with homes, offices, restaurants, gas stations, and so on. Nonetheless, for some, computers still represent the machine they will never know how to use. Communicating with a computer is done using a keyboard or a mouse, devices many people are not comfortable using. Speech recognition solves this problem and destroys the

Wireless Speech Recognition

1209 words - 5 pages Wireless Speech Recognition Introduction In today's ever changing world, full of technology, there are many advances being made in the world of computing. This can be seen a great deal in the area of speech recognition. Machines, computers specifically, are interacting more and more with humans and these interactions can now be driven by human speech. For this technology to be used at its highest potential it will have to be affordable and