作者: Fadi Biadsy , Pedro J. Moreno Mengibar , Petar Aleksic
DOI:
关键词: Natural language processing 、 Language model 、 Utterance 、 Embodied cognition 、 Artificial intelligence 、 Subject matter 、 Limited speech 、 Transcription (software) 、 Grammar 、 Computer science 、 Speech recognition 、 Vocabulary
摘要: The invention relates to multiple recognizer speech recognition. subject matter of this specification can be embodied in, among other things, a method that includes receiving audio data corresponds an utterance, obtaining first transcription the utterance was generated using limited recognizer. includesa language model is trained over recognition vocabulary one or more terms from voice command grammar, but fewer than all expanded grammar. A second obtained classified based at least on portion transcription.