Metadata-Version: 1.1
Name: kaldi-adapt-lm
Version: 0.1.3
Summary: Adapt Kaldi-ASR nnet3 chain models from Zamia-Speech.org to a different language model.
Home-page: https://github.com/gooofy/kaldi-adapt-lm
Author: Guenter Bartsch
Author-email: guenter@zamia.org
License: Apache
Description: # kaldi-adapt-lm
        
        Adapt Kaldi-ASR nnet3 chain models from Zamia-Speech.org to a different
        language model.
        
        Constructive comments, patches and pull-requests are very welcome.
        
        Tutorial
        --------
        
        To create the language model we would like to adapt our kaldi model to, we first
        need to create a set of sentences. To get started, download and uncompress a generic set
        of sentences for you language, e.g.
        
            wget 'http://goofy.zamia.org/zamia-speech/misc/sentences-en.txt.xz'
            unxz sentences-en.txt.xz
        
        now suppose the file utts.txt contained the sentences you would like the model to
        recognize with a higher probability than the rest. To achieve that, we add these
        sentences five times in this examples to our text body:
        
            cat utts.txt utts.txt utts.txt utts.txt utts.txt sentences-en.txt >lm.txt
        
        we also want to limit our language model to the vocabulary the audio model supports,
        so let's extract the vocabulary next:
        
            MODEL="models/kaldi-generic-en-tdnn_sp-latest"
            cut -f 1 -d ' ' ${MODEL}/data/local/dict/lexicon.txt >vocab.txt
        
        with those files in place we can now train our new language model using KenLM:
        
            lmplz -o 4 --prune 0 1 2 3 --limit_vocab_file vocab.txt --interpolate_unigrams 0 <lm.txt >lm.arpa
        
        Now we can start the kaldi model adaptation process:
        
            kaldi-adapt-lm ${MODEL} lm.arpa mymodel
        
        You should now be able to find a tarball of the resulting model inside the work subdirectory.
        
        Links
        -----
        
        - <http://kaldi-asr.org/> [Kaldi ASR] 
        - <https://zamia-speech.org> [Zamia Speech] 
        
        Requirements
        ------------
        
        - Python 2
        - Kaldi ASR
        
        License
        -------
        
        My own code is Apache-2.0 licensed unless otherwise noted in the
        script’s copyright headers.
        
        Author
        ------
        
        Guenter Bartsch \<<guenter@zamia.org>\>
        
Keywords: natural language processing nlp asr speech recognition kaldi
Platform: UNKNOWN
Classifier: Operating System :: POSIX :: Linux
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Multimedia :: Sound/Audio :: Speech
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
