Front-end speech recognition allows authors to effectively create, format and edit documents using speech in real-time. For environments where faster turn-around times are required or a shortage of transcription resources exists, speech recognition can help ensure a tidy return on investment.
Back-end speech recognition allows transcriptionists to take an automatically typed document and simply reformat or edit the text. Authors need not be involved and this process is completely transparent to them. The requisite skills go from typing to editing and formatting. Although highly efficient alone, when done in conjunction with front-end speech recognition, the turn-around times are unparalleled as this collaboration between author and transcriptionist eliminates much of the back and forth process usually required to perfect a document.
Here is a simple analogy to help quantify the improved efficiency. Most people can speak much faster than they can type. A relatively fast typist, who can type 50 words per minute, can produce a 450-word e-mail in 9 minutes. Using speech recognition software, a person dictating 140 to 160 words per minute can produce the same 450-word e-mail in roughly 3 minutes which allows them to reallocate 66% of their time for other tasks or even allows organizations to reduce their overall costs by reducing associated human resources. This does not include the additional time the person can save by navigating through most applications such as opening the e-mail program, looking up an e-mail address from their contact management software programs and actually sending the e-mail, all performed using intuitive voice commands.
Benefits for Authors (front-end)
- People can speak much faster than they can type allowing them to create documents much more rapidly
- Greater autonomy for authors:
- Faster turnaround times
- Ability to immediately visualize, edit and format the document.
- Less dependency on scarce transcriptionist resources
- Frees up support staff to perform other tasks
- Less outsourcing
- Authors can easily navigate through documents allowing them to format and edit text before transcription or, in many cases, avoid transcription altogether.
- Authors can “command and control” the computer desktop to easily navigate through files or launch and navigate through applications such as Explorer, Word and Outlook using voice.
- Powerful macros can be created for repetitive tasks and activated using voice commands.
- Populating templates
- Authors with disabilities, repetitive stress injuries (RSI) or carpal tunnel syndrome (CTS) can be as efficient, if not more, than their counterparts.
- Poor typists can create documents more efficiently than trained typists.
- Mobile dictation devices are fully supported allowing authors, who spend a significant amount of time away from the office, the ability to dictate whenever and wherever they are.
- Allows for more efficient resource management (less administration, less space, less outsourcing).
Benefits for Transcriptionists (back-end)
- Increases productivity as document have already been typed for them.
- Typing skills are no longer the requisite qualification to efficiently produce finished documents.
- Much faster turn-around times.
- Allows better management of dictation bottlenecks caused by peaks.
- Increased productivity allows them to take on more rewarding tasks.
- The formula to successfully make speech recognition an extremely powerful efficiency tool starts with:
- Choosing the right technology adapted to suit the needs of the ultimate users
- Proper conception and integration of the solution into the existing workflow
- Personalized professional training and support provided to all users to ensure a good understanding of the technology to maximize the power of the solution
If any of the above components are omitted, unleashing the power of speech will have limited success and the associated productivity gains and return on investment negligible.