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Table 1 Acoustic filtering performed by a simple Viterbi alignment on context-free HMMs (Baseline), with GMM-filtering and ASAP pruning (A-GMM), with ASAP and smart querying coupled with GMM-based filters (A-SR-GMM) and MLP-based filters (A-SR-MLP). Performances are reported in terms of recall, filtering rates and CPU time consumption. Tests are conducted on the EPAC spontaneous speech corpus.

From: Query-Driven Strategy for On-the-Fly Term Spotting in Spontaneous Speech

 

Baseline

A-GMM

A-SR-GMM

A-SR-MLP

Recall

0.99

0.97

0.97

0.97

Filt. rate

0.65

0.33

0.37

0.23

RT-fact.

0.1

0.05

0.03

0.05