Speech Recognition of Partial Proper Names by Natural Language Processing

摘要

A method for speech recognition of partial proper names is described which includes natural language processing (NLP), partial name candidate generation, speech recognition and post processing. Natural language processing techniques including shallow and deep parsing are applied to long proper names to identify syntactic units (for example, noun phrases). The syntactic units form a basis for generating a candidate list of partial names for each original full name. A partial name is part of the original name, with some words omitted, or word order changed, or even word substitution. After candidate partial names are generated, their phonetic transcriptions are incorporated into a model for a speech recognizer to recognize the partial names in a speech recognition system.

主权项

1. A method of speech recognition for partial proper names comprising:
receiving with a processor a corpus including a plurality of complex proper names; performing with the processor natural language processing to generate syntactic structure corresponding to a plurality of words in one complex proper name in the corpus; generating with the processor a plurality of candidate partial names corresponding to the one complex proper name using a machine learning process with reference to the syntactic structure corresponding to the one complex proper name and the plurality of words in the one complex proper name; incorporating with the processor the plurality of candidate partial names into a model for a speech recognizer to recognize partial names in a speech recognition process; and storing with the processor the model for the speech recognizer in a memory for identification of the complex proper names in a speech recognition process after recognizing the partial names.