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First , we present a new paradigm for speaker-independent -LRB- SI -RRB- training of hidden Markov models -LRB- HMM -RRB- , which uses a large amount of speech from a few speakers instead of the traditional practice of using a little speech from many speakers .
 used for: speech, speaker-independent -LRB- SI -RRB- training of hidden Markov models -LRB- HMM -RRB-
Given options, please tell me the relationships of all the listed entity pairs.Output format is "relation1: word1, word2; relation2: word3, word4". 
Option: conjunction, feature of, hyponym of, used for, part of, compare, evaluate for 
Text: {0} 
 Entity Pairs:  speech, speaker-independent -LRB- SI -RRB- training of hidden Markov models -LRB- HMM -RRB- 
Answer:
 used for: speech, speaker-independent -LRB- SI -RRB- training of hidden Markov models -LRB- HMM -RRB-