Sixth International Conference on Spoken Language Processing
In this paper, we present an ecient calculation of the factored LM probabilities for speeding up the large vocabulary continuous speech recognition. We introduced a novel technique based on the independent calculation of the factored LM probability. The basic idea of the proposed method is that each factored LM probability is calculated on-demand for a new combination of a previous word hypothesis and a LM look-ahead tree node, instead of calculating all the factored LM probabilities over the tree at a time. The speaker-independent continuous speech recognition experiment was performed for 20 speakers on a 60k word newspaper dictation task. As a result, the proposed method achieved 25% improvement in speed.
Bibliographic reference. Yamamoto, Hiroki / Fukada, Toshiaki / Komori, Yasuhiro (2000): "Effective lexical tree search for large vocabulary continuous speech recognition", In ICSLP-2000, vol.4, 322-325.