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Speech recognition is one of five main areas in the field of speech processing. Difficulties in speech recognition include variability in sound within and across speakers, in channel, in background noise, and of speech production. Speech recognition can be used in a variety of situations: to perform query operations and phone call transfers; for data entry; for command and control operations; and in dictation. Technical characteristics of speech recognition systems depend on several variables, the most important of which are vocabulary size, speaker dependence, speaker mode, domain dependence, and multiple language support. Knowledge sources are based on three models: set of phonemes (acoustic); word lexicon; and language. The objective of the speech recognition process is to determine the sequence of words that most probably caused the observed sequence of acoustic vectors. Currently, speech recognition systems can recognize a large number of words, recognize discrete speech, handle 70-100 words per minute, and handle several languages with a high recognition rate. In the future, speech recognition systems will be able to handle any speaker without need for training, continuous speech, very large vocabularies, telephone communication, and natural language understanding. (MSE)

Descriptors: Computational Linguistics, Computer Software, Discourse Analysis, Foreign Countries, Information Technology, Language Processing, Language Research, Linguistic Theory, Oral Language, Trend Analysis

Autor: de Sopena, Luis

Fuente: https://eric.ed.gov/?q=a&ft=on&ff1=dtySince_1992&pg=7299&id=ED413747

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