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Transcription software assists in the conversion of human speech into a text transcript. Audio or video files can be transcribed manually or automatically.[1] Transcriptionists can replay a recording several times in a transcription editor and type what they hear. By using transcription hot keys, the manual transcription can be accelerated, the sound filtered, equalized or have the tempo adjusted when the clarity is not great. With speech recognition technology, transcriptionists can automatically convert recordings to text transcripts by opening recordings in a PC and uploading them to a cloud for automatic transcription, or transcribe recordings in real-time by using digital dictation. Depending on quality of recordings, machine generated transcripts may still need to be manually verified. The accuracy rate of the automatic transcription depends on several factors such as background noises, speakers' distance to the microphone, and accents.

Transcription software, as with transcription services, is often provided for business, legal, or medical purposes. Compared with audio content, a text transcript is searchable, takes up less computer memory, and can be used as an alternate method of communication, such as for subtitles and closed captions.

The definition of transcription "software", as compared with transcription "service", is that the former is sufficiently automated that a user can run the entire system without engaging outside personnel. However, the advent of software-as-a-service and cloud computing models blur this distinction. It uses artificial intelligence, machine learning and natural language processing to convert speech to text and continuously learn new phrases and accents.[2]

Development

Research at Google released a free android app Google Live Transcribe, it runs on Google Cloud.[3][4] Google Chrome developed and has a available built in English Live Caption.[5] Google Docs, Google Translate, Google Assistant, GBoard Google Text to Speech engine support transcription tool too.[6][7][8][9] [10] OpenAI launched Whisper, an open-source speech recognition deep learning model in September 2022.[11]

See also

References

  1. ^ "Transcription Functions | Transcribear". General Transcription Functions and Conventions, Audio Transcriptions. 2017-06-08. Retrieved 2019-02-15.
  2. ^ Bhatt, Medha. "What is AI Transcription? Everything You Need to Know". fireflies.ai. Retrieved 3 June 2022.
  3. ^ "Use Live Transcribe - Android Accessibility Help". support.google.com. Retrieved 2021-06-14.
  4. ^ Butler, Sydney (2019-12-09). "How to transcribe speech using Google's Live Transcribe app". 9to5Google. Retrieved 2021-06-14.
  5. ^ "Google Chrome's new Live Caption feature will transcribe speech in videos". techxplore.com. Retrieved 2021-06-14.
  6. ^ "Now you can transcribe speech with Google Translate". Google. 2020-03-17. Retrieved 2021-06-14.
  7. ^ Krasnoff, Barbara (2020-08-14). "How to use Google's free transcription tools". The Verge. Retrieved 2021-06-14.
  8. ^ "Live Transcribe & Sound Notifications - Apps on Google Play". play.google.com. Retrieved 2021-06-14.
  9. ^ "Google Rolling Out Real-Time Transcription and Translation for Gboard Users". Retrieved 2021-06-14.
  10. ^ Roberts, L, Alex. "Transcription services". Retrieved 17 November 2021.
  11. ^ Golla, Ramsri Goutham (2023-03-06). "Here Are Six Practical Use Cases for the New Whisper API". Slator. Archived from the original on 2023-03-25. Retrieved 2023-08-12.
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