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Data annotation is the process of labeling data with relevant tags to make it easier for computers to understand and interpret. This data can be in the form of images, text, audio, or video, and data annotators need to label it as accurately as possible.

Audio transcription is the process of taking speech from an audio file and converting it to written text. Adding a transcription to your video, podcast, or other audio recording file opens your content up to a wider audience.

Audio annotation is the transcription and time-stamping of speech data, including the transcription of specific pronunciation and intonation, along with the identification of language, dialect, and speaker demographics.

What's the Definition of Transcription? When someone takes an audio or video recording of an important conversation or speech and converts it into usable text, that's transcription. A transcript is a word-for-word, written documentation of a recording.

Linguistic annotation. Also referred to as corpus annotation, linguistic annotation simply describes the process of tagging language data in text or audio recordings. With linguistic annotation, annotators are tasked with identifying and flagging grammatical, semantic or phonetic elements in the text or audio data.

An annotation is a note or issue attached to the content of a transcript. Use the transcript viewer to create, edit, reply to, and delete notes as well as apply and remove issues. You can also apply annotations to multiple pages and lines of a transcript at once.

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