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This is a repository dedicated for pre-trained acoustic models of Hong Kong Cantonese and Cantonese forced alignment.

License: MIT License

Python 91.09% Shell 8.91%

hkcantonese_models's Introduction

HKCantonese_models

This is a repository dedicated for pre-trained acoustic models of Hong Kong Cantonese and Cantonese forced alignment using Montreal Forced Aligner (MFA).

Acoustic models

The pre-trained acoustic models of Hong Kong Cantonese are available in pretrained_models/:

  • acoustic_model_cv15_train.zip: model trained using the train set (~10 hrs) from Common Voice Hong Kong Chinese Corpus (Common Voice Corpus 15.0 updated on 9/14/2023).

  • acoustic_model_cv15_validated.zip: model trained using the validated set (~106.5 hrs, 2325 speakers) from Common Voice Hong Kong Chinese Corpus (Common Voice Corpus 15.0 updated on 9/14/2023).


Dictionaries

cv15_validated_lexicon.txt and cv15_validated_lexicon.dict contain the lexicon in the Common Voice Hong Kong Chinese Corpus 15.0, which is over 4800 entries. The former is in non-probabilistic format and the latter includes pronunciation and silence probabilities.


Alignment using Montreal Forced Aligner

An example of using the pre-trained acoustic model is as follows:

mfa align [OPTIONS] corpus_directory dictionary acoustic_model_cv15_validated.zip
          output_directory

Tutorials

  1. Training acoustic models using the Kaldi recipe

    The relevant scripts are available in kaldi_tutorial_scripts/.

  2. Training acoustic models with MFA (Kaldi) implementation

    The relevant scripts are available in mfa_tutorial_scripts/.

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