**Title:** Prediction of Keyword Spotting Accuracy Based on Simulation

**Author:** Y.Yamashita

**Reference:** Proc. of 6th European Conference on Speech Communication and
Technology (Eurospeech '99), 3, pp.1235-1238 (1999).

**Abstract:**
This paper proposes a method of predicting accuracy of keyword spotting
in terms of FA count and spotting score of correct detections.
A new measure F for predicting the FA count is calculated
by simulation of the keyword spotting
for phoneme sequences that phoneme-based language model generates.
Another measure C for predicting the spotting score of correct detections
is obtained from a product of correct recognition probabilities of phonemes.
Both correlation coefficients and prediction errors are used
to evaluate these measures in comparison
with a simple measure of the keyword phoneme length, L.
The prediction errors of FA count based on L was 7.71.
The measure F reduced the prediction errors by 16%,
and it had stronger correlation with the FA count.
Furthermore a combined measure of F and L reduced the errors by 23%.
On the other hand,
L was more effective to predict the spotting score of
correct detections than the measure C.

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