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2014/10/15 ¤U¤È 10:15:53

iphone Programming Glossary: vocabulary

Building openears compatible language model

http://stackoverflow.com/questions/5220661/building-openears-compatible-language-model

use the Simulator to run it once and get the output out of the documents folder and keep it. Another option for large vocabulary recognition is explained here Creating ARPA language model file with 50 000 words Having said that I need to point out as.. point out as the OpenEars developer that the CMU tool's limit of 5000 words corresponds pretty closely to the maximum vocabulary size that is likely to have decent accuracy and processing speed on the iPhone when using Pocketsphinx. So the last suggestion.. So the last suggestion would be to either reconceptualize your task so that it doesn't absolutely require large vocabulary recognition for instance since OpenEars allows you switch models on the fly you may find that you don't need one enormous..

Creating ARPA language model file with 50,000 words

http://stackoverflow.com/questions/5743390/creating-arpa-language-model-file-with-50-000-words

it was worth documenting it because I think it may be helpful to others who are using a platform where keeping a vocabulary this size in memory is more of a viable thing and maybe it will be a possibility for future device models as well. There.. trim down the pronunciation dictionary by removing any words from it which aren't found in the corpus language_model.vocabulary this would be a regex problem . These files are intended for use with one of the Sphinx English language acoustic models... the desire to use a 50 000 word English language model is driven by the idea of doing some kind of generalized large vocabulary speech recognition and not by the need to use a very specific 50 000 words for instance something specialized like a medical..