Skip to main content

Table 4 Performance of parallel frontends

From: Phone lattice reconstruction for embedded language recognition in LVCSR

Lattice reconstruction algorithm

EER (%)

A0. Word-based phone lattice

21.28

A1. Time-aligned phone lattice

15.89

A2. Phoneme-expanded 1-best lattice

15.79

A3. Frame-expanded N-best lattice

15.40

A3'. Pruned frame-expanded N-best lattice

14.98

PRVSM, standard PRVSM system

14.55

PRVSM-alt, PRVSM with LVCSR acoustic model

14.97

  1. EERs of the A3' system were obtained by using the 84% pruning beam width for Mandarin and 81% for English