HiFi++: a Unified Framework for Neural Vocoding, Bandwidth Extension and Speech Enhancement

Overview

HiFi++ : a Unified Framework for Neural Vocoding, Bandwidth Extension and Speech Enhancement

This is the unofficial implementation of Vocoder part of HiFi++ : a Unified Framework for Neural Vocoding, Bandwidth Extension and Speech Enhancement.

  • Currently, this repo is WIP but you can start your training without any error.

Training:

python train.py --config config_v2.json

Citations:

@misc{https://doi.org/10.48550/arxiv.2203.13086,
  doi = {10.48550/ARXIV.2203.13086},
  
  url = {https://arxiv.org/abs/2203.13086},
  
  author = {Andreev, Pavel and Alanov, Aibek and Ivanov, Oleg and Vetrov, Dmitry},
  
  keywords = {Sound (cs.SD), Machine Learning (cs.LG), Audio and Speech Processing (eess.AS), FOS: Computer and information sciences, FOS: Computer and information sciences, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering},
  
  title = {HiFi++: a Unified Framework for Neural Vocoding, Bandwidth Extension and Speech Enhancement},
  
  publisher = {arXiv},
  
  year = {2022},
  
  copyright = {arXiv.org perpetual, non-exclusive license}
}

References:

Owner
Rishikesh (ऋषिकेश)
Deep Learning/ AI Researcher | Open Source enthusiast | Text to Speech | Speech Synthesis | Generative Models | Object detection | Computer Vision
Rishikesh (ऋषिकेश)
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