speech recognition

[′spēch ‚rek·ig′nish·ən] (engineering acoustics) The process of analyzing an acoustic speech signal to identify the linguistic message that was intended, so that a machine can correctly respond to spoken commands.

speech recognition

(application)(Or voice recognition) The identification ofspoken words by a machine. The spoken words are digitised(turned into sequence of numbers) and matched against codeddictionaries in order to identify the words.

Most systems must be "trained," requiring samples of all theactual words that will be spoken by the user of the system.The sample words are digitised, stored in the computer andused to match against future words. More sophisticatedsystems require voice samples, but not of every word. Thesystem uses the voice samples in conjunction with dictionariesof larger vocabularies to match the incoming words. Yet othersystems aim to be "speaker-independent", i.e. they willrecognise words in their vocabulary from any speaker withouttraining.

Another variation is the degree with which systems can copewith connected speech. People tend to run words together,e.g. "next week" becomes "neksweek" (the "t" is dropped). Fora voice recognition system to identify words in connectedspeech it must take into account the way words are modified bythe preceding and following words.

It has been said (in 1994) that computers will need to besomething like 1000 times faster before large vocabulary (afew thousand words), speaker-independent, connected speechvoice recognition will be feasible.

单词	speech recognition
释义	speech recognition speech recognition n (Computer Science) the understanding of continuous speech by a computer speech recognition speech recognition [′spēch ‚rek·ig′nish·ən] (engineering acoustics) The process of analyzing an acoustic speech signal to identify the linguistic message that was intended, so that a machine can correctly respond to spoken commands. speech recognition (application)(Or voice recognition) The identification ofspoken words by a machine. The spoken words are digitised(turned into sequence of numbers) and matched against codeddictionaries in order to identify the words. Most systems must be "trained," requiring samples of all theactual words that will be spoken by the user of the system.The sample words are digitised, stored in the computer andused to match against future words. More sophisticatedsystems require voice samples, but not of every word. Thesystem uses the voice samples in conjunction with dictionariesof larger vocabularies to match the incoming words. Yet othersystems aim to be "speaker-independent", i.e. they willrecognise words in their vocabulary from any speaker withouttraining. Another variation is the degree with which systems can copewith connected speech. People tend to run words together,e.g. "next week" becomes "neksweek" (the "t" is dropped). Fora voice recognition system to identify words in connectedspeech it must take into account the way words are modified bythe preceding and following words. It has been said (in 1994) that computers will need to besomething like 1000 times faster before large vocabulary (afew thousand words), speaker-independent, connected speechvoice recognition will be feasible. speech recognition speech recognition Speech understanding, voice recognition Informatics The ability of a computer, through software, to accept spoken words as dictation or follow voice commands speech rec·og·ni·tion (spēch rek'ŏg-nish'ŭn) Software program used by some medical transcription departments to translate spoken language into a draft printed format that is then edited by medical transcriptionists to create a permanent record of patient care. Synonym(s): voice recognition. speech recognition The ability of a machine or computer to interpret human speech. Also known as voice recognition and speech understanding. AcronymsSeesum rule
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speech recognition