Transcriptions, those who love doing them, and ultimately those who transcribe them are necessary, but the market is lagging for what they need to transcribe using voice recognition.
Some of you think the industry is missing the mark. You have different opinions on if voice transcription is like snail mail or E–mail–which is easier to do now that the cable company is touting three megabytes download times, for its standard Internet connection.
You now can receive your voice transcription files by E-mail, in a flash, using the Internet. However, transcribing a voice file to a MS-Word® document and putting it on the page is slower and more like snail mail, which by the way many of you are limiting. This is seen in the increase in the use of E-mail, as compared to other deliveries like those made to your office or home address.
So, you love to speak. Speaking is all right as long as what you speak is heard. You love to read what you hear. Courses and training as well as reading for pleasure requires many of you to read the words of others. However, what good are the words you speak with your voice if no one hears or reads them, either while you are speaking them or after you have finished speaking?
For the future, transcriptions through voice recognition seems to be an opportunity that everyone thinks require less of the real office person or a human factor. However, a closer look at this idea shows you that this is not the case. Almost all software technology companies are looking for opportunities in the voice recognition market. Others companies are looking to be partners with these companies, in an effort to raise profit lines and revenues—to keep them in the black. Companies like Nuance© and NCH Software© are looking for ways to create and improve how voice transcriptions are made. These companies are making progress, for example, in producing new software products like Dragon© by Nuance© or others like Dictate and Scribe by NCH©.
These software products and similar products, on the market, are barely meeting the mark in the technology needed for transcription with voice recognition. This is because the software needs more capabilities to make the Nuance© and NCH Software© products do the job needed in the voice recognition industry. This job is to have true voice-to-audio transcriptions. True voice-to-audio transcriptions will need less of the human factor. Ideally, transcriptions will not need a real person, a human being, to listen through an audio headphone set, but this lags.
Companies like Nuance© and NCH Software©, the major voice recognition players in the industry, have available in their software features that allow the capability for you to copy and paste text into a dialog box and then have the standard voices–named Mike and Sam those included with these products, read the text. This is an ideal feature. But, this feature must be improved. The desired feature of the future is for this feature to have the standard voices, Mike and Sam, sound less like robots and be modifiable for pitches and speech timings. This also lags.
It is concluded that there is progress in the voice recognition industry, but it still has market lag. Software is available on the market, with useful features. The software and features that require more research causes this lag. But, voice recognition transcription is not a-thing-of-the-past and is not going to be for many years, if at all. Time-to-market and the features of available voice-recognition, time-to-market and features must improve in the human factor to prevent market lag. This human factor includes the people who dictate and transcribe, and who listen to them.
This article has been submitted by Allen Kathy.