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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 ).
A set of electrodes are attached to the skin of the throat and, without opening the mouth or uttering a sound, the words are recognized by a computer. Subvocal speech recognition deals with electromyograms that are different for each speaker. Therefore, consistency can be thrown off just by the positioning of an electrode.
Auditory masking. In audio signal processing, auditory masking occurs when the perception of one sound is affected by the presence of another sound. [1] Auditory masking in the frequency domain is known as simultaneous masking, frequency masking or spectral masking. Auditory masking in the time domain is known as temporal masking or non ...
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 ...
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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.
Each speaker recognition system has two phases: enrollment and verification. During enrollment, the speaker's voice is recorded and typically a number of features are extracted to form a voice print, template, or model. In the verification phase, a speech sample or "utterance" is compared against a previously created voice print.
Voice computing is the discipline that develops hardware or software to process voice inputs. [1] It spans many other fields including human-computer interaction, conversational computing, linguistics, natural language processing, automatic speech recognition, speech synthesis, audio engineering, digital signal processing, cloud computing, data ...