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 trained and produce an actual voice sample. Through this process sounds, words or phrases are converted in electrical signals and then they are turned into a coding process by the system. The goal of voice recognition is to understand the human spoken voice. Speech recognition has a long history that actually began in the toy industry. The first toy to respond to voice commands with voice recognition was named Radio Rex. It was created by the Elmwood Button Company in 1922. The first speech recognition systems could understand only digits because of the different types of human language. Bell Laboratories designed the "Audrey" system in 1952, which recognized digits spoken by a single voice. Years later, IBM Company introduced its "Shoebox" machine, in 1962. This system could understand 16 words spoken in English. Then in the 1970s, speech recognition expanded with Siri Speech recognition technology, from the U.S. Department of Defense. They also developed the “DARPA” Speech Understanding Research (SUR) program, from 1971 to 1976, which was one of the largest research programs in the history of speech recognition. In the 1980s, speech recognition took a new approach to understanding what people were saying. Speech recognition vocabulary increased from a few hundred words to several thousand w... ... middle of paper ... ...quire usage of different skills. They will become editors of the EHR reports and will remain responsible for the quality of information that was dictated into the system. They would use what is known as front-end speech recognition (FESR). The use of speech recognition technology has increased in the last decade in the field of medical transcription, but it will not replace the traditional medical transcription system because of the number of problems that occur while using the new technology. In conclusion, the main benefit of voice recognition is the extra added level of security that it provides its consumers. This technology is very secure but most of all software programs have its problems as it grows. In time I am sure it will become one of the most successful software applications in the large expanding field of electronic documentation and health records.
Historically, physicians and nurses documented patients’ health information using paper and pencil. This documentation created numerous errors in patients’ medical records. Patient information became lost or destroyed, medication errors occur daily because of illegible handwriting, and patients had to wait long periods to have access to their medical records. Since then technology has changed the way nurses and health care providers care for their patients. Documentation of patient care has moved to an electronic heath care system in which facilities around the world implement electronic health care systems. Electronic health records (EHR) is defined as a longitudinal electronic record of
Automatic speech recognition is the most successful and accurate of these applications. It is currently making a use of a technique called “shadowing” or sometimes called “voicewriting.” Rather than have the speaker’s speech directly transcribed by the system, a hearing person whose speech is well-trained to an ASR system repeats the words being spoken.
It is necessary to look at the development of artificial intelligence in order to put this idea into context. The concept of intelligent and aware constructs began to emerge in the 1950s and 60s as several scientists in many fields came together to discuss the possibilities of advanced computer research. The first major step was a scientific conference at Dartmouth College in 1956. Here, the general concepts and possible paths of research for a.i. were fleshed out. As described in Artificial Intelligence: A Modern Approach, this conference was “the birth of artificial intelligence.” This was mostly a theoretical stage yet attending experts predicted that with a huge investment, working technology could be available in a generation (16). After being officially established, a.i. research and discovery exploded. Computer programs, a brand new idea, were already conquering algebra problems and speech recognition. Some could even reproduce English (18). It was clear that artificial intelligence research was going to be at the fo...
EMRs provide a common access point where clinicians and health care providers can review and document information about clients and their care. These records are essential to improving efficiency and increasing client safety (Electronic Medical Records, n.d.). Electronic reports are an enabling technology that allows medical practices to pursue more powerful quality improvement programs than is possible with paper-based records (Miller, Robert; Sim, Ida). Clinicians and clients do not have to worry about errors occurring due to the poor legibility of handwritten paper medical records. EMRs facilitate the continuity of care before, during and after hospitalization because all the data in one place. Think of the amount of time and money employees spend on phone calls, emails, and faxes ...
Individuals who are deaf or are hearing impaired are faced with many problems in today’s world. There are so many tasks and activities that are done today that deaf or hearing impaired people may have difficulty doing because of there handicap. There handicap used to stop them or inhibit them from doing something that they are interested in or there friends and neighbors would do. However in today there are new and different technologies, that help the deaf and hearing impaired in the activities in which they want to participate in which is hard for them to take part in because of there handicap. Technology is used to help with everyday tasks in the lives of deaf and hearing impaired individuals. With out this new technology which is being invented everyday, deaf and hearing impaired people may be considered to have a handicap which prevents them from certain activities, but this is not the case anymore, now these people just have different obstacles which through the use of technology they are learning to over come. They can do anything that regular normal range of hearing individuals can do, due to the new technology being invented everyday.
The new healthcare technology that is spreading nationwide it the EHR programs that are being implemented and updated in healthcare organizations. Government policies are in place for societies protection and privacy, it also helps to create a place where healthcare information can be utilized to its fullest potential. ONC authors’ regulations that set the standards and certification criteria EHRs must meet to assure health care professionals and hospitals that the systems they adopt are capable of performing certain functions (HealtIt, 2015).
Imagine living during the 1960’s when the nation was divided by segregation. The only way to express your ideas, beliefs, and thoughts during that time was through words. Famous Civil Rights activists such as, Dr.Martin Luther King Jr., inspired many with his wise words and empowering speeches. Times when many felt unheard or invisible, words were there as tranquilness and an ataraxia. Words have the power to provoke, calm, or inspire by motivating others to take action in what they believe in.
Biometrics is described as the use of human physical features to verify identity and has been in use since the beginning of recorded history. Only recently, biometrics has been used in today’s high-tech society for the prevention of identity theft. In this paper, we will be understanding biometrics, exploring the history of biometrics, examples of today’s current technology and where biometrics are expected to go in the future.
...speaker and the listener. The student can store often used responses, and prepare anticipated answers prior to situations where he will be meeting with those less familiar with his speech capabilities. By implementing this type of device, the student has become more confident and can communicate appropriately for a student his age. In this instance, the integration of technology into the learning environment may make a difference as to whether the student is employable or overlooked due to the inability to communicate well on the job.
Studies have implied that, healthcare professionals who practice clinical features through EHR were far more likely provide better preventive care than were healthcare professionals who did not. (page 116). From 2004, EHR has initiated, even the major priority of President Obama’s agenda is EHR (Madison & Stagger, 2011). Health care administration considers EHR as the introduction of advanced technology which can improve patient satisfaction are can increase the financial incentives of the healthcare organization. Studies have pointed out that the federal policy is proposed to transform all medical records into EHR (Hebda & Calderone, 2010).
The Brave New World of eHR: Human Resources in the Digital Age. Jossey-Bass, 2005.
Biometrics is a preset method to recognize a person based on a physiological or behavioral attribute. The present features are face recognition, fingerprints, handwriting, hand geometry, iris, vein, voice and retinal scan. In the early years of the 21st century, we find ourselves persistently moving further away from the stipulation of physical human interface playing a major part of basic everyday tasks. Striding ever closer to an programmed society, we interact more habitually with mechanical agents, unsigned users and the electronic information sources of the World Wide Web, than with our human counterpart. It is therefore possibly sardonic that identity has become such an important issue in the 21st century. Face recognition has been related as the divine Grail of biometric recognition systems, due to a number of noteworthy advantages over other methods of identification.
There are a few different types of voice recognition software, all programmed to interpret a vocal signal inputted by the user. In order to use the software, the user must use a headset or some other microphone-type device that allows for vocal input. The technology works as follows: the analog signal from the voice cones in through the microphone, that signal is converted to digital, and the voice software interprets the digital signal.
Speech sounds can be defined as those that belong to a language and convey meaning. While the distinction of such sounds from other auditory stimuli such as the slamming of a door comes easily, it is not immediately clear why this should be the case. It was initially thought that speech was processed in a phoneme-by-phoneme fashion; however, this theory became discredited due to the development of technology that produces spectrograms of speech. Research using spectrograms in an attempt to identify invariant features of formant frequency patterns for each phoneme have revealed several problems with this theory, including a lack of invariance in phoneme production, assimilation of phonemes, and the segmentation problem. An alternative theory was developed based on evidence of categorical perception of phonemes: Liberman’s Motor Theory of Speech Perception rests on the postulation that speech sounds are recognised through identification of how the sounds are produced. He proposed that as well as a general auditory processing module there is a separate module for speech recognition, which makes use of an internal model of articulatory gestures. However, while this theory initially appeared to account for some of the features of speech perception, it has since been subject to major criticism, and other models have been put forward, such as Massaro’s fuzzy logic model of perception.
Computers are now being used to help the blind with a voice synthesizer that tells them what they are typing or what they are trying to see on the screen. According to Palmer (1999),"CCS builds and sells complete handicapped accessible packages, as well as individual products like speech synthesizes voice cards and screen enlargement software. The screen enlargement programs increase type size to aid people who are partially impaired. Those with total blindness use synthesizers both hardware and software versions that read what's on the screen. They work by translating ASCI symbols, the series of code each letter and graphic is assigned into voice transmissions.