Posts Tagged "Speech Recognition Technology"
Save Time With Speech Recognition Software
Speech or voice recognition software for the PC and Mac has been available for many years now with off the shelf packages being offered by a variety of manufacturers. What has changed however is their accuracy and functionality between different platforms.
For those of you that are unfamiliar with speech recognition technology, it is essentially a computer program that utilizes a microphone connected to your computer to turn your speech into text most widely used in conjunction with word processing software such as Microsoft Word.
The software has come a long way since its first inception into the market enabling today’s software to not only allow you to turn your speech into text but to actually control your computer through voice commands eliminating the need for a mouse as well.
The average person can type 45 words per minute which is three times slower then they can talk. This suggests that there is a very large potential to increase working efficiency for any profession or even hobby that requires a lot of word processing.
Writers and students who need to write tremendous amounts of text will be among the most helped by such software as it will greatly speed up their work rate. Even business managers will find it useful to speed up their report writing and hit those deadlines on time while leaving precious time for generating those business winning ideas.
There is no doubt that voice recognition can be a great time management tool but it also has a secondary benefit that often goes unnoticed. Since all that is needed is a microphone one does not need to be at their computer when using the software.
You can sit on your sofa or even work from bed which makes it perfect for people with disabilities or even infrequent repetitive strain injury (RSI) sufferers as they can rest their hands, wrists, back, and neck as you no longer need to sit in one position to use a keyboard and mouse.
For real enthusiasts, why not purchase a wireless microphone headset and dictate to your computer while doing household chores such as cooking or cleaning. The potential is virtually limitless.
There has always been one underlying problem with off the self speech recognition software and that was their inaccuracy of interpreting your speech correctly, especially for people with strong dialects.
This was mainly due to the limited computer power of your average home computer 5 to 10 years ago as the software requires a lot of processing power to be accurate. Since today’s computer technology is much faster then five years ago the sought after accuracy is now a reality.
The top software programs have no trouble at being accurate at all and work well right out of the box and work perfectly within one or two hours of use after it configures to your dialect.
Voice recognition has now been reborn with the accuracy that it should have had from the start. Mobile phone manufacturers have recognized this and are using speech recognition in all their high end products. Top of the line GPS car systems also utilize it so why not take advantage of it on your PC and save yourself some precious time.
Jason Creation – Want to find out more about us, as well as learn more about Voice Recognition Software, and Speech Recognition Software, then look NO further.
Speech Recognition Technology And Medical Transcription Services
:An Overview:
Speech is now not confined solely to the human race, or even living beings on a broader perspective. It has extended to the World of Technology; specifically Computers and Software. Speech Recognition Technology [SRT], little known until recent times, is an area that has been constantly growing over the years. SRT has opened new windows of panoramic dimensions to human kind.
Speech Recognition Technology – Defined:
A technology wherein a machine or program identifies spoken words and phrases and converts them to readable format. In more simpler terms, voice/speech is converted to text format.
The Beginning:
Speech Recognition Technology, as we know it today, did not just bloom overnight. It is the work of over 30 years. The very first implementation of Speech Recognition was designed and displayed by IBM during the 1964 New York World’s Fair. It was called the IBM Shoebox; and typically sized too. This device only recognized spoken digits from 0 to 9. Over the years, Software companies have delved upon the benefits and the profits that can be reaped from developing SRT, and they have come a long way since. Now many noted companies have come up with different versions of this technology, offering various features.
While Speech Recognition has progressed vastly, the downside is that it has been a long and laborious road this far. It calls for training and updating of Software to work flawlessly; and it is currently far from perfect. There is so much more to go before it can be said that SRT is without any imperfections.
Speech Recognition Technology – In Health Care and Medical Transcription:
An area where this technology has caught on to a great extent is the Medical Transcription Industry. Speech Recognition is of two types : Front End and Back End.
Front End : As the doctor dictates into the machine, the words are automatically generated and displayed. This text can be edited directly, the report finalized, and signed by the doctor immediately. But there are few Front end users due to time constraints faced by doctors and practitioners.
Back End : Also called Delayed or Deferred Speech Recognition. The written draft is generated by the Software and sent to the Medical Transcriptionists for editing and proof reading. This is more convenient for doctors as it requires less time spent reading the proofs.
EMR : Speech Recognition can be applied in Electronic Medical Record systems of hospitals, clinics, etc. Searches, queries, and even filling up of forms can be made simpler and faster with voice rather than using the keyboard.
Advantages :
Speech Recognition Technology can be advantageous to both Medical Transcriptionists as well as doctors in a number of ways.
A few advantages are :
# There is not much typing involved as the first draft is generated by the software
# Requires only editing of the machine-generated text
# Faster turnaround of reports
# Saves time in completion of reports
# Stat reports can be completed and returned quicker than by using the conventional method of typing
Drawbacks :
Being a technology that has not entirely been perfected, SRT has a few drawbacks.
# It cannot fully distinguish words spoken with heavy accents
# Homophones (words which sound the same but may have different spellings and meanings) can cause spelling errors
# Incorrect grammar is bound to occur in the generated texts
# Punctuation rules are not likely to be followed at all times
# Multiple speakers cannot be clearly differentiated
# Background noise and disturbances may cause misspellings
Question of the Hour:
A niggling thought in the minds of many Medical Transcriptionists is whether Speech Recognition Technology poses a threat to their livelihood. This is a baseless fear, keeping in mind the drawbacks of SRT. No report will be complete until a human eye has scanned it. Machine-generated documents can only be 60%-70% error-free. It demands well-trained and professional Medical Transcriptionists to read through and edit the reports. A mistake, even a tiny one, can result in unpleasant situations for many. And one cannot rely on mere machines to do the job 100% without errors.
In conclusion, Speech Recognition Technology is certainly one of a kind. While it has not yet reached the peak of perfection, it is still quite an aid to the healthcare industry, specifically Medical Transcription. And there is certainly no danger of software or machines or even technology entirely taking over man’s work; technology is just merely helping out!
About SpectraMedi:
SpectraMedi is a US based company providing Medical Transcription Services throughout the country. Located in New York, they have been servicing over 400 clients for a more than a decade. SpectraMedi is known for its integration of the latest technology within its transcription processes, thereby yielding top-notch results: quality transcriptions at short turn around times. Spectramedi is poised and set to merge Speech Recognition Technology into its Medical Transcription process. All the efforts of the company in generating quality documents are bound to culminate in satisfactory results, both for clients and staff. SpectraMedi’s dedication to its work has earned it a valuable set of clients, thus proving that the company is a leader in Medical Transcription Services. Supported by a strong team of skilled and expert Medical Transcription Professionals coupled with IT Professionals, SpectraMedi has established itself as a premier Medical Transcription Service provider.
For details on SpectraMedi and Medical Transcription Services, visit:
Key Differences Between Speech Recognition and Voice Recognition
Speech recognition and voice recognition are both rapidly progressing technologies with numerous applications that can enhance convenience, security, law enforcement efforts, and more. Though “speech recognition” and “voice recognition” are often used interchangeably, they are different technologies with radically different objectives.
What is speech recognition?
Speech recognition is the process of capturing spoken words using a microphone or telephone and converting them into a digitally stored set of words.
The quality of a speech recognition systems are assessed according to two factors: its accuracy (error rate in converting spoken words to digital data) and speed (how well the software can keep up with a human speaker).
Speech recognition technology has endless applications. Commonly, such software is used for automatic translations, dictation, hands-free computing, medical transcription, robotics, automated customer service, and much more. If you have ever paid a bill over the phone using an automated system, you have probably benefited from speech recognition software.
Speech recognition technology has made huge strides within the last decade. However, speech recognition has its weaknesses and nagging problems. Current technology is a long way away from recognizing conversational speech, for example.
Despite its shortcomings, speech recognition is quickly growing in popularity. Within the next few years, experts say that speech recognition will be the norm in phone networks the world over. Its spread will be aided by the fact that voice is the only option for controlling automated services in places where touch tone phones are uncommon.
What is voice recognition?
While speech recognition is the process of converting speech to digital data, voice recognition is aimed toward identifying the person who is speaking.
Voice recognition works by analyzing the features of speech that differ between individuals. Everyone has a unique pattern of speech stemming from their anatomy (the size and shape of the mouth and throat) and behavioral patterns (their voice’s pitch, their speaking style, accent, and so on).
The applications of voice recognition are markedly different from those of speech recognition. Most commonly, voice recognition technology is used to verify a speaker’s identity or determine an unknown speaker’s identity. Speaker verification and speaker identification are both common types of voice recognition.
Speaker verification is the process of using a person’s voice to verify that they are who they say they are. Essentially, a person’s voice is used like a fingerprint. Once a sample of their speech is recorded, a person’s speech patterns are tested against a database to see if their voice matches their claimed identity.
Most commonly, speaker verification is applied to situations where secure access is needed. Such systems operate with the user’s knowledge and cooperation.
Speaker identification is the process of determining an unknown speaker’s identity. Unlike speaker verification, speaker identification is usually covert and done without the user’s knowledge.
For example, speaker identification can be used to identify a criminal solely by their voice. In this situation, a sample of their voice would be checked against a database of criminals’ voices until a match is found. Recently, this technique was used to identify a South American drug kingpin who had obscured his physical identity by undergoing extensive plastic surgery.
To get more information about speech and voice recognition applications, please contact Lumenvox at (877) 977-0707. Founded in 2001, LumenVox combines the most powerful, flexible, and useful speech recognition software together with excellent customer service. Lumenvox uses a business and technology approach that allows VARs, VXML platform providers, solution providers, and application developers access to speech recognition technology.
Speech Recognition Devices Are A Lifesaver If You Can’t Type
Speech recognition technology is important for anyone with arthritis. Arthritis affects all ages and occupations, but is especially devastating for anyone who types and communicates through using a keyboard on the internet or office network. There are few options for someone who works in an office if they cannot type information into a keyboard except for speech recognition devices. Even though claiming disability looks attractive, the reality of actually exploring the possibilities of expensive medical procedures including splints or other devices, painful injections of corticosteroids and NSAIDs or finally, surgery is painful.
The first approach an employer will want to take to avoid these painful conditions is to reassign an employee to different duties, but an employee who wants to keep working on a computer may explore other options like headsets that record what needs to be typed. There is legislation being passed that helps office workers with arthritis. For example, in West Virginia, the West Virginia Arthritis Prevention Education Act, which was introduced last February, was passed by both houses of the West Virginia Legislature on March 13. This legislation will establish an arthritis prevention and treatment education program within the WV Bureau of Public Health. An Interagency Council on Arthritis has included an allocation of $280,000. The bill will be delivered to the Governor’s office where hopefully it will be signed into law.
Affordable equipment and software is now more widely used for office workers with arthritis. Speech recognition devises are equipment which lets a person with arthritis speak the words they want to type or the commands they need to use into their computer instead of typing when they are in pain. This equipment used to be expensive and non-compatible with many computers. Now, they are accessible and inexpensive, even for small businesses. Small businesses can now employ and keep people with arthritis who need to use a keyboard without the expense or the inconvenience of using technology that originally was not within their reach.
Even individuals who have arthritis can purchase this equipment to take with them on interviews so that they can prove they are able to work in an office without their arthritis being a burden. This kind of equipment and software has come a long way in helping people with disabilities continue to work and become valuable assets to small businesses and larger offices everywhere. Many government agencies also benefit from speech recognition devices because they help long term employees with arthritis keep working in a productive way that benefits everyone, including taxpayers. Speech recognition devices now save money and jobs for everyone, and reduce the liability and disability payments that any company must pay if someone is no longer able to perform their duties.
Many employers and small businesses have realized that experienced office workers are hard to find. With this equipment, when an office worker has arthritis, there are affordable and convenient solutions to keep valued employees working. This equipment lets employees keep working and keep companies strong.
Robert Bibb has been a consumer advocate and entrepreneur for many
years. He lives in West Virginia where he is an avid kayaker and computer enthusiast who owns an SEO company.
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