Businesses in Captioning Services

The businesses that have built voice recognition applications claim "Yes", but professional users are saying "No", they maintain that voice recognition is good if it's restricted to documenting a few minutes of audio. The software fails to produce and falters, when large file size audio recordings need to be converted into text.

Many television firms which started for transcribing digital voice records of the program using voice recognition, are disappointed, because of the low accuracy levels and the time it takes to transcribe the audio. These firms use the transcripts for adding captions to television programs, and for the captions to sync with the audio, the precision of the transcripts required is 100%. This system disappointingly fails with this account.

The recorded information used by research workers from interviews and focus groups also have experimented with speech recognition and some of them appeared to be filled with the performance of the software. They maintain that the program needs to be trained for speech recognition and it's very convenient for transcribing notes that are brief. Nevertheless for big size recordings they still depend on transcription firms to document information that is recorded. There are inherent deficiencies in the application which have to be figured out before large scale use of the application becomes possible.

An attorney working for a legal business tried the voice recognition for transcribing recordings of court-room proceedings, but the end results were fatal according to him. The voice recognition did not transcribe several minutes of the proceeding, legal terms were mispronounced and finally he had to phone his routine transcription company for recording the proceedings. The lawyer failed to desire to use the application at all for the transcription of brief notes.

The commonality of views expressed by professionals that are different does signify that commercial use of voice recognition applications in not possible, you can find limitations of what it cannot and what it can do. The transcription services for the moment shall stay in the human domain, and automation will need to wait until the technology is mastered for commercial use.