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Otter.ai, Inc. 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. Its software, called Otter, shows captions for live speakers, and generates written transcriptions of speech. [1]
Dragon NaturallySpeaking from Nuance Communications – Successor to the older DragonDictate product. Focus on dictation. 64-bit Windows support since version 10.1. Tazti – Create speech command profiles to play PC games and control applications – programs. Create speech commands to open files, folders, webpages, applications.
United States free speech exceptions. In the United States, some categories of speech are not protected by the First Amendment. According to the Supreme Court of the United States, the U.S. Constitution protects free speech while allowing limitations on certain categories of speech. [1] Categories of speech that are given lesser or no ...
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 ).
The issue of school speech or curricular speech as it relates to the First Amendment to the United States Constitution has been the center of controversy and litigation since the mid-20th century. The First Amendment's guarantee of freedom of speech applies to students in the public schools. In the landmark decision Tinker v.
Android. Type. Screen reader. Speech Recognition & Synthesis, formerly known as Speech Services, [ 2 ] is a screen reader application developed by Google for its Android operating system. It powers applications to read aloud (speak) the text on the screen, with support for many languages. Text-to-Speech may be used by apps such as Google Play ...
e. Deep learning speech synthesis refers to the application of deep learning models to generate natural-sounding human speech from written text (text-to-speech) or spectrum (vocoder). Deep neural networks (DNN) are trained using a large amount of recorded speech and, in the case of a text-to-speech system, the associated labels and/or input text.
A child speech corpus is a speech corpus documenting first-language language acquisition. Such databases are used in the development of computer-assisted language learning systems and the characterization of children's speech at difference ages. [1] Children's speech varies not only by language, but also by region within a language.
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