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For Future Court Reporters and Current Stenographers
While stenotypists have the benefit of a 30-year history, voice recognition technology is a new, high-tech innovation. Speech recognition is a single-user, voice-to-text technology, meaning only one person can create each voice file. Each voice writer must create a voice file – essentially training the machine to recognize and decipher the reporter’s voice in order to transcribe from speech to screen. The machine cannot recognize multiple voices at once, so it will only transcribe the voice of the reporter currently using the machine. One machine, however, can be used by multiple individuals, each having a distinct voice file. Thus, a single machine could be installed in a courtroom and accessed by numerous court reporters. Visit the Voice Writing Equipment page on this website for more information on current technology.
Systems can interface with all litigation support systems for direct, live feeds to judges and attorneys. Voice-to-text technology can also be used in conjunction with a scopist. That is, the text can be fed to a scopist for proofing prior to being fed to attorneys, judges, or the Internet. Not all court reporters using voice-to-text technology wish to perfect their voice files to the degree required of a certified realtime reporter. They are, nonetheless, using the same skills and equipment.
Potential voice writers must study all of the elements of court reporting including English grammar skills, document production and word processing, legal, medical, and technical terminology, and proper legal procedure. In addition, students of voice writing must learn to listen and speak at the same time, while also identifying speakers and describing peripheral activities in the courtroom or deposition room.
A good voice writer must possess three difficult skills. The first is speed. Voice writers must speak very quickly. They must repeat everything that is said as well as identify speakers, insert punctuation, non-verbal responses and gestures. Witnesses, attorneys and judges speak rapidly, especially when reading material. Parties often speak at the same time and the court reporter is tasked with recording the words of each party.
Second, speech recognition relies on context, linguistic models, and speech patterns. However, since court reporters are not speaking for themselves, the speech pattern of the actual speaker is lost. Linguistic modeling often fails us, as well. For example, by linguistic model, K-N-O-W is the most common form of the sound "no." However, in a legal setting, the word "no" far outweighs the word "know" in usage. Thus, the linguistic model must be overcome in favor of context.
Lastly, voice writers are called upon to have a huge vocabulary. Our speech recognition dictionary must be broad enough to cover a wide range of words, terminology and subject matter, as well as various regional and foreign dialects.
It is estimated that the entire education process of a realtime voice writer can be completed within one school year. Voice writers who only want to learn to use the basic equipment instead of the newest technologies can be trained in six to eight months. Most skilled court reporters who currently use the stenotype method can learn the voice recognition method within a period of six months. For these reporters, learning the process itself would take only a matter of weeks, but becoming proficient in using the voice writing method would take approximately six months.
These time estimates are based on the amount of time a student can devote to learning the voice recognition process. A full-time court reporter learning to practice voice writing will obviously take longer to complete the training process than a full-time student.
Speech recognition technology is allowing voice writers to pursue not only court reporting careers, in courtrooms and deposition suites, but also careers as closed captioners, CART reporters (Communication Access Realtime Translation) for hearing-impaired individuals and Internet text and/or caption providers.
To view the latest information from the U.S. Department of Labor, click here.
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