di, iii 1°° 11
–AI Classics/files/AI/classics/EncyclopeiaAI/EAI11.pdf
The five-year ARPA-funded speech project that began at that time made understanding, rather than The transduction from speech to meaning must be mediated recognition, the primary research goal. It was felt that a by a variety of components that utilize diverse system's ability to respond intelligently to speech was a knowledge sources (KSs) because the speech signal encodes, more meaningful criterion for the evaluation of speech in a highly compressed and integrated fashion, systems. In addition, it was believed that the speech signal many different types of information relevant to the recovery was an impoverished source of information, and of meaning. This knowledge-based approach contrasts knowledge of the context of an utterance was essential for with that taken in whole-word template-matching systems; its successful recognition and interpretation. Speech-recognition variability in the pronunciation of words in connected systems based on dynamic programming, pattern-matching speech is no longer seen as a hindrance to pattern techniques have been developed for utterances matching but rather as an important source of information, that consist solely of isolated words chosen from a eg, concerning the location of word boundaries small vocabulary, and to a lesser extent, the same techniques (Church, 1983) or of contextually important (stressed) information have been extended to connected sequences of in the utterance. Figure 1 illustrates one possi-words Rabiner and Levinson (1981).
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