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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 ).
Speech recognition is at an early stage of development. Specialized devices can recognize few words and accuracy is not very high. [1] 1971–1987. Speech recognition rapidly improves, although the technology is still not commercially available. [1] 1987–2014. Speech recognition continues to improve, becomes widely available commercially, and ...
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.
Reduce your alcohol intake. Be kind to your voice by not yelling or talking loudly. Avoid mumbling and whispering, which can also strain your vocal cords. Keep your sinuses clear by taking ...
Voice writing is a method used for court reporting, medical transcription, CART, and closed captioning. Using the voice writing method, a court reporter speaks directly into a stenomask or speech silencer - a hand-held mask containing one or two microphones and voice-dampening materials. As the reporter repeats the testimony into the recorder ...
Audio deepfake. An audio deepfake (also known as voice cloning or deepfake audio) is a product of artificial intelligence [1] used to create convincing speech sentences that sound like specific people saying things they did not say. [2] [3] [4] This technology was initially developed for various applications to improve human life.
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