A language score based output selection methodfor multilingual speech recognition
Table 2: Language model evaluation
['[EMPTY]', '[BOLD] Multilinguage LM0', '[BOLD] English LM1', '[BOLD] Vietnamese LM2']
After building LM1 and LM2 as above, the multilingual model LM0 was created by linearly interpolating LM1 and LM2 with α=0.5. LM0 was further cut off all n-grams that have a probability of less than 2E-8 to reduce its size and speed up the first decoding step. After this step, the size of the unpruned LM0 from 800MB has decreased to 30MB. The perplexities of LM0, LM1, and LM2 on All of these models were built by using the tool SRILM [tedlium].