Automated transcription uses computers to produce written transcriptions of speech or music. High-quality software is necessary for accurate transcription, but minor errors are common and human review may be necessary. Some people use automatic transcription for dictation.
Automated transcription is the process of producing a written transcription of speech or speech, through the use of computers and without direct human intervention. Accurate automated transcription requires high-quality transcription software and a device that can accurately receive auditory information. In general, it is also necessary that the speech or recording to be transcribed be reasonably free from distortion and interference from background noise. Attempts have also been made to transcribe music using computers running specialized transcription software. Music transcription involves writing down the notes of a particular piece of music, especially when there is no pre-existing notation for that music, as is the case with improvised solos.
Good transcription software is necessary for successful automatic transcription. The software is responsible for processing the auditory input, breaking a continuous stream of language into separate words, recognizing these words and correctly representing them in text. A failure at any stage of this process often results in a transcript that differs slightly from the source material. Good automatic transcription software should be able to recognize the subtle differences between similar words and compensate for various speaking styles and speeds. Difficult-to-understand accents tend to be problematic for even the best transcription software.
Some people use automatic transcription software because they prefer dictation to typing or directly writing text. Some forms of automated transcription software are particularly good for this purpose because they can “learn” the voices of the people whose words are being transcribed. In these cases, automatic transcription is not used to create speech transcripts from many different sources; therefore, it is not necessary for the software to be open to a wide variety of speech patterns. Enabling this optimization process, which can occur during an individual’s prolonged use of the software or during a preliminary calibration, can greatly increase the accuracy and potential speed of dictation.
Unfortunately, computers are not as well suited to consistently and accurately recognizing human speech as humans are. They cannot, for example, make use of contextual cues if they don’t understand a specific word. As such, it is often necessary for a human to review transcripts created through automatic transcription. Minor errors in formatting and various errors in transcription are in many cases common, unless the transcribed speech is very clear. Still, the use of computerized transcription can quickly create a solid foundation for a transcription that requires only limited human intervention prior to submission or use.
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