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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 ...
Speech-to-text software is used by voice writers to provide CART. CART is useful for making communication accessible to those who are deaf or hard of hearing, as realtime speech-to-text serves many with hearing loss and deafness. Captioning is mandated by the Americans with Disabilities Act (ADA) as an auxiliary aid or service. [3]
Otter.ai, Inc. is an American transcription software company based in Mountain View, California.The company develops speech to text transcription applications using artificial intelligence and machine learning.
Kaldi is a toolkit for speech recognition provided under the Apache licence. Mozilla DeepSpeech is developing an open-source Speech-To-Text engine based on Baidu's deep speech research paper. [1] VoxForge is a free speech corpus and acoustic model repository for open-source speech recognition engines.
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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).
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