Sixth International Conference on Spoken Language Processing
Itís always helpful if we can predict how well a recognition system can perform for different tasks and evaluate the quality of different acoustic models. This paper presents a way to compute the acoustic similarity between words of a recognition task from the statistic models directly based on 2 kinds of definitions of the acoustic distance between recogniton units. Itís applications for command and control task complexity prediction and acoustic model evaluation are discussed. The experimental results shows itís a useful measurement.
Bibliographic reference. Shen, Liqin / Fu, Guokang / Chai, Haixin / Qin, Yong (2000): "The measurement of acoustic similarity and its applications", In ICSLP-2000, vol.4, 576-579.