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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).
Dragon launches Dragon Dictate, the first speech recognition product for consumers. [1] 1993: Invention: Speakable items, the first built-in speech recognition and voice enabled control software for Apple computers. 1993: Invention: Sphinx-II, the first large-vocabulary continuous speech recognition system, is invented by Xuedong Huang. [6 ...
Linear predictive coding (LPC) is a speech coding method used in speaker recognition and speech verification. [citation needed] Ambient noise levels can impede both collections of the initial and subsequent voice samples. Noise reduction algorithms can be employed to improve accuracy, but incorrect application can have the opposite effect.
James Baker is an expert in speech recognition technology and a Distinguished Career Professor at Carnegie Mellon University. From June 2007 to 2009, Baker served as director of research at the Center of Excellence in Human Language at the Johns Hopkins University .
A complete system design will also introduce elements of lexical entrainment, to encourage the human user to favor certain ways of speaking, which in turn can improve recognition performance. Text-to-speech synthesis (TTS) realizes an intended utterance as speech. Depending on the application, TTS may be based on concatenation of pre-recorded ...
Voice activity detection (VAD), also known as speech activity detection or speech detection, is the detection of the presence or absence of human speech, used in speech processing. [1] The main uses of VAD are in speaker diarization , speech coding and speech recognition . [ 2 ]
Speech processing is the study of speech signals and the processing methods of signals. The signals are usually processed in a digital representation, so speech processing can be regarded as a special case of digital signal processing, applied to speech signals. Aspects of speech processing includes the acquisition, manipulation, storage ...
He is best known as the leading author of the HTK toolkit, [2] a software package for using hidden Markov models to model time series, mainly used for speech recognition. Its first version was originally developed by Young at the Machine Intelligence Laboratory of the Cambridge University Engineering Department (CUED) in 1989.