readme: ---
  language: en
  datasets:
  - librispeech_asr
  tags:
  - speech
  license: cc-by-nc-4.0
  ---
  
  # Wav2Vec2-Base with audio augmentation
  
  The base model pretrained on 16kHz sampled speech-augmented audio. The audio comes from 960h Libris dataset that is augmented as follows:
  
  ![](https://github.com/nguyenvulebinh/voice-filter/blob/main/resources/augment_data.png?raw=true)
  
  The ambient noise dataset includes MUSAN and WHAM (a total of 189 hours, including music, speech, and environmental noise). The reverb dataset is from Room RIR and BUT Speech@FIT (2650 room impulse response signals).
  
  # Model Parameters License
  
  The model parameters are made available for non-commercial use only under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license. You can find details at: https://creativecommons.org/licenses/by-nc/4.0/legalcode
  
  
  ### Contact 
  
  nguyenvulebinh@gmail.com
  
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