| 摘要 |
Continuous speech is input to an acoustic analyzer comprising a filter bank which filters (acoustically analyzes) the input speech and outputs from each filter a characteristic parameter vector of the input speech. The acoustic analyzer also calculates a steadiness parameter which is proportional to a reciprocal of a change in the spectrum of the input speech and represents steadiness of the input speech. the feature parameter vector is input to an initial similarity calculator, and a similarity (initial similarity) to each reference phoneme pattern stored in a reference phoneme pattern memory is calculated using a multiple similarity method. The initial similarity is input to a similarity normalizing circuit, and is normalized (weighted) based on the steadiness parameter in order to reflect information representing steadiness or unsteadiness of a phoneme into the similarity. For a steady reference phoneme, weighting is increased when the steadiness parameter increases and is decreased when the steadiness parameter decreases. For an unsteady reference phoneme, weighting is increased when the steadiness parameter decreases and is decreased when the steadiness parameter increases. |
