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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).
Voice Finger – software that improves the Windows speech recognition system by adding several extensions to it. The software enables controlling the mouse and the keyboard by only using the voice. The software enables controlling the mouse and the keyboard by only using the voice.
Braina Pro can type spoken words into an active window at the location of a user's cursor. [15] [13] [16] Its speech recognition technology supports more than 100 languages and dialects [2] [7] [20] [13] and is able to isolate the recognition of a user's voice from disturbing environmental factors such as background noise, [21] other human voices, or external devices.
The software has three primary areas of functionality: voice recognition in dictation with speech transcribed as written text, recognition of spoken commands, and text-to-speech: speaking text content of a document. Voice profiles can be accessed by different computers in a networked environment, although the audio hardware and configuration ...
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 ...
Whisper is a machine learning model for speech recognition and transcription, created by OpenAI and first released as open-source software in September 2022. [2]It is capable of transcribing speech in English and several other languages, and is also capable of translating several non-English languages into English. [1]
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