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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).
Google launches the Voice Search app for the iPhone, bringing speech recognition technology to mobile devices. [11] 2011: October 4: Invention: Apple announces Siri, a digital personal assistant. In addition to being able to recognize speech, Siri is able to understand the meaning of what it is told and take appropriate action. [12] 2014: April ...
Alexa can deliver messages to a recipient's Alexa application, as well as to all supported Echo devices associated with their Amazon account. Alexa can send typed messages only from Alexa's app. If one sends a message from an associated Echo device, it transmits as a voice message. Alexa cannot send attachments such as videos and photos. [61]
Speech-to-Text can recognize commas, question marks, and periods in transcription requests. [79] In April 2019, the most popular audio games in the Assistant, Crystal Ball, and Lucky Trivia, have had the biggest voice changes in the application's history. The voice in the assistant has been able to add expression to the games.
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Apps such as textPlus and WhatsApp use Text-to-Speech to read notifications aloud and provide voice-reply functionality. Google Cloud Text-to-Speech is powered by WaveNet, [5] software created by Google's UK-based AI subsidiary DeepMind, which was bought by Google in 2014. [6] It tries to distinguish from its competitors, Amazon and Microsoft. [7]
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Subvocal recognition (SVR) is the process of taking subvocalization and converting the detected results to a digital output, aural or text-based. [1] A silent speech interface is a device that allows speech communication without using the sound made when people vocalize their speech sounds .