| model,12-3-N03-1001,bq | training </term> is first used to train a <term> | phone n-gram model | </term> for a particular <term> domain </term> | #2267 In our method, unsupervised training is first used to train a phone n-gram model for a particular domain; the output of recognition with this model is then passed to a phone-string classifier. |
| measure(ment),12-2-N03-1001,bq | off-the-shelf <term> classifiers </term> to give <term> | utterance classification performance | </term> that is surprisingly close to what | #2235 The method combines domain independent acoustic models with off-the-shelf classifiers to give utterance classification performance that is surprisingly close to what can be achieved using conventional word-trigram recognition requiring manual transcription. |
