Resources

á      ASR: kaldi

á      Machine Learning libraries

á      Scikit-learn: https://scikit-learn.org/stable/

á      NLP Tools

á      LIWC: Linguistic Inquiry and Word Count: http://liwc.wpengine.com

á      Stanford NLP Toolkit:  https://nlp.stanford.edu/software/

á      Word embeddings: word2vec, GloVe, ELMo, BERT

á      Morphological analyzers

á      Polyglot: https://polyglot.readthedocs.io/en/latest/MorphologicalAnalysis.html

á      Morfessor : https://morfessor.readthedocs.io/en/latest/

á      LegaliPy: http://syllabipy.com

á      Praat Tutorials

á      Maria Gouskova 2016: https://www.gouskova.com/2016/09/03/praat-tut= orial/

_      Parselmouth: Python interface to Praat; introduction

á      Prosodic labeling and detection

á      http://www.speech.cs.cmu.edu/tobi/ToBI.1.html 

á      https://www.ling.ohio-state.edu/~tobi/ame_tobi/annotation_conventions.html

_      AuToBI Ð A Tool for Automatic ToBI annotation: https://www.isca-speech.org/archive/archive_papers/interspeech_2010/i10_0146.pdf

á      TTS

á      Simon King Merlin video tutorial:  http://www.speech.zone/courses/one-off/merlin-interspeech2017/

á      http://www.cs.cmu.edu/~awb/synthesizers.html

á      Old and new speech software:  

á      SoX conversion software: http://sox.sourceforge.net

á      http://linux-sound.org/speech.html

á      Spectrogam reading practice:  

á      https://home.cc.umanitoba.ca/~robh/howto.html

á      https://linguistics.ucla.edu/people/hayes/103/SpectrogramReading/index.htm