The Recognition of Speech by Machine
نویسنده
چکیده
The problem of engineering a mechanical (automatic) speech recognition system is discussed in both its theoretical and practical aspects. Performance of such a system is judged in terms of its ability to act as a parallel channel to human speech recognition. The linguistic framework of phonemes as the atomical units of speech, together with their distinctive feature description, provides the necessary unification of abstract representation and acoustic manifestation. A partial solution to phoneme recognition, based on acoustic feature tracking, is derived, implemented, and tested. Results appear to justify the fundamental assumption that there exist several acoustic features that are stable over a wide range of voice inputs and phonetic environments.
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