Do you know what this popular game is and when it was invented?
The Speak & Spell was first introduced in 1978 at the summer Consumer Electronics Show. This early speech technology was only the tip of the iceberg to where we are now with advanced speech and voice recognition.
Fast-forward 35 years: Apple launched a new iPhone with Siri speech-recognition software making the decades-old technology good enough for the average consumer. Rather than recognizing a simple word, Siri can interpret a stream of words and provide intelligent feedback.
Even with all of the speech and voice recognition software in place today, can we really afford to do away with the traditional transcription services? Sure, recognition software costs less than transcription; however, what is truly the “cost” to consumers?
Technology is important, but not more important than the quality that affects organizations and their consumers. Transcribers can intuitively correct simple errors of confusion, whereas the most advanced speech technology cannot. Speaking clearly and distinctly is essential for voice recognition software to work effectively. If a caller is in a noisy place or has an accent, then it may throw off the accuracy of the software. Conference settings and free-form feedback are other sources of inaccurate recording for the software. Transcription agents can filter out extraneous speech like, “umm” and “aah.”
An undisputed advantage of voice recognition is its speed. However, transcription can also be done in real time and doesn’t need to sit on backup tapes or servers overnight causing the common delays.
Transcription has been seen by some as a “routine” task. With so many technological advances of voice automation, it was thought that transcription would become obsolete. However, there are many aspects of transcription jobs that are not always routine. These instances require human judgment, error correction, formatting and clarification of the unclear. The judgment, experience and plain common sense can be an invaluable and priceless contribution.
Just because a computer can do something doesn’t necessarily mean that it should.