JOURNAL ARTICLE

Continuous speech recognition from a phonetic transcription

Abstract

A long-standing and widely accepted linguistic theory of speech recognition holds that natural spoken messages are understood on the basis of an intermediate representation of the acoustic signal in terms of a small number of phonetic symbols. The traditional linguistic theory is very attractive for several reasons. First, it provides a natural way to partition the process of communication by spoken language into distinct acoustic, phonetic, lexical and syntactic sub-processes. Second, it provides for a reduction in bandwidth at each successive stage of the process. And, finally, it seems to be reflected in the development of written language. It is thus not surprising that this seminal idea formed the basis for several early speech recognition machines [1, 2, 3, 4].

Keywords:
Computer science Phonetic transcription Speech recognition Transcription (linguistics) Natural language Process (computing) Linguistics Natural language processing Natural (archaeology) Artificial intelligence History

Metrics

2
Cited By
0.62
FWCI (Field Weighted Citation Impact)
0
Refs
0.77
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Speech Recognition and Synthesis
Physical Sciences →  Computer Science →  Artificial Intelligence
Speech and dialogue systems
Physical Sciences →  Computer Science →  Artificial Intelligence
Phonetics and Phonology Research
Social Sciences →  Psychology →  Experimental and Cognitive Psychology

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