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draft [2009/09/30 20:39] ptacek |
draft [2009/09/30 20:41] ptacek |
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The ASR module based on Hidden-Markov models transforms input speech into text, providing a front-end between the user and the Czech demonstrator. The ASR output is smoothed into a form close to standard written text using statistical machine translation in order to bridge the gap between dis-fluent spontaneous speech and a standard grammatical sentence. | The ASR module based on Hidden-Markov models transforms input speech into text, providing a front-end between the user and the Czech demonstrator. The ASR output is smoothed into a form close to standard written text using statistical machine translation in order to bridge the gap between dis-fluent spontaneous speech and a standard grammatical sentence. | ||
- | Results of part-of-speech tagging are passed on to Maximum Spanning Tree Syntactic | + | Results of the part-of-speech tagging are passed on to the Maximum Spanning Tree Syntactic |
- | In addition, when generating the system response, the dialogue manager will pass through the NLG module the information about the appropriate communicative function | + | In addition, when generating the system response, the dialogue manager will pass through the NLG module the information about the appropriate communicative function along with the sentence that is to be generated. NLG is also used to generate paraphrases of user input sentences.The TTS module integrated with the TID avatar transforms system responses from the text form into the speech and visual (face expressions, |