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Speech recognition using phonetically featured syllables (1998).
| Content Provider | CiteSeerX |
|---|---|
| Author | Stephenson, Todd A. Place, Buccleuch |
| Abstract | Speech can be naturally described by phonetic features, such as a set of acoustic phonetic features or a set of articulatory features. This thesis establishes the effectiveness of using phonetic features in phoneme recognition by comparing a recogniser based on them to a recogniser using an established parametrisation as a baseline. The usefulness of phonetic features serves as the foundation for the subsequent modelling of syllables. Syllables are subject to fewer of the context-sensitivity effects that hamper phone-based speech recognition. I investigate the different questions involved in creating syllable models. After training a feature-based syllable recogniser, I compare the feature based syllables against a baseline. To conclude, the feature based syllable models are compared against the baseline phoneme models in word recognition. With the resultant feature-syllable models performing well in word recognition, the featuresyllables |
| File Format | |
| Publisher Date | 1998-01-01 |
| Access Restriction | Open |
| Subject Keyword | Speech Recognition Syllable Model Featured Syllable Word Recognition Subsequent Modelling Phonetic Feature Phone-based Speech Recognition Different Question Context-sensitivity Effect Feature-based Syllable Recogniser Baseline Phoneme Model Resultant Feature-syllable Model Phoneme Recognition Acoustic Phonetic Feature Articulatory Feature |
| Content Type | Text |
| Resource Type | Thesis |
