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The process of converting spoken words into text, such as in: linguistics. Transcription (linguistics), the representations of speech or signing in written form Orthographic transcription, a transcription method that employs the standard spelling system of each target language
The data obtained by this form is regarded as a static representation of handwriting. Offline handwriting recognition is comparatively difficult, as different people have different handwriting styles. And, as of today, OCR engines are primarily focused on machine printed text and ICR for hand "printed" (written in capital letters) text.
Video of the process of scanning and real-time optical character recognition (OCR) with a portable scanner. Optical character recognition or optical character reader (OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene photo (for example the text on signs and ...
Speech recognition is an interdisciplinary subfield of computer science and computational linguistics that develops methodologies and technologies that enable the recognition and translation of spoken language into text by computers. It is also known as automatic speech recognition (ASR), computer speech recognition or speech-to-text (STT).
Text processing; tree numbering and sorting; custom tree icons; node checkboxes; checkbox filtering; search filtering; reminder alarms; compressed or encrypted notebooks; auto-minimize and/or auto-lock when idle; quick access key for fast notes; additional scratchpad; autosave of up to 9 previous file versions; automatic clipboard capturing ...
Text normalization is frequently used when converting text to speech. Numbers, dates, acronyms, and abbreviations are non-standard "words" that need to be pronounced differently depending on context. [2] For example: "$200" would be pronounced as "two hundred dollars" in English, but as "lua selau tālā" in Samoan. [3]
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