‘On-line early recognition’ of polysyllabic words in continuous speech
Scharenborg, O., Boves, L., & Ten Bosch, L.
‘On-line early recognition’ of polysyllabic words in continuous speech. In S. Cassidy, F. Cox, R. Mannell, & P. Sallyanne (Eds.
), Proceedings of the Tenth Australian International Conference on Speech Science & Technology
(pp. 387-392). Canberra: Australian Speech Science and Technology Association Inc.
In this paper, we investigate the ability of SpeM, our recognition system based on the combination of an automatic phone recogniser and a wordsearch module, to determine as early as possible during the word recognition process whether a word is likely to be recognised correctly (this we refer to as ‘on-line’ early word recognition). We present two measures that can be used to predict whether a word is correctly recognised: the Bayesian word activation and the amount of available (acoustic) information for a word. SpeM was tested on 1,463 polysyllabic words in 885 continuous speech utterances. The investigated predictors indicated that a word activation that is 1) high (but not too high) and 2) based on more phones is more reliable to predict the correctness of a word than a similarly high value based on a small number of phones or a lower value of the word activation.