Generating a phonetic transcription of the speech waveform is one method
which can be applied to continuous speech recognition. Current methods of labelling a
speech wave involve the use of techniques based on spectrographic analysis. This paper
presents a computationally simple method by which some phonemes can be identified
primarily by their shapes.
Three shapes which are regularly manifested by three phonemes were examined
in utterances made by a number of speakers. Features were then devised to recognise
their patterns using finite state automata combined with a checking mechanism. These
were implemented in the Wave Analysis Language (WAL) system developed at the
University of Canberra and the results showed that the phonemes can be recognised
with high accuracy. The resulting shape features have also demonstrated a degree of
speaker independence and context dependency.
| Identifer | oai:union.ndltd.org:ADTP/218827 |
| Date | January 1994 |
| Creators | Carandang, Alfonso B., n/a |
| Publisher | University of Canberra. Information Sciences & Engineering |
| Source Sets | Australiasian Digital Theses Program |
| Language | English |
| Detected Language | English |
| Rights | ), Copyright Alfonso B. Carandang |
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