If you ask in a generic way like this, the answer would be: Ofcourse, you could use pytorch to implement each and everything.
I would suggest you to google about it to find numerous projects.

  
      
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SeanNaren/deepspeech.pytorch 8

Speech Recognition using DeepSpeech2. Contribute to SeanNaren/deepspeech.pytorch development by creating an account on GitHub.


  
  
    
    
  
  



  
      
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tugstugi/pytorch-speech-commands 5

Speech commands recognition with PyTorch. Contribute to tugstugi/pytorch-speech-commands development by creating an account on GitHub.


  
  
    
    
  
  



  
      
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awni/speech 13

A PyTorch Implementation of End-to-End Models for Speech-to-Text - awni/speech


  
  
    
    
  
  


Related to tensorboard in pytorch:

  
      
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facebookresearch/visdom 2

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy. - facebookresearch/visdom


  
  
    
    
  
  



  
      
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lanpa/tensorboardX 1

tensorboard for pytorch (and chainer, mxnet, numpy, ...) - lanpa/tensorboardX


  
  
    
    
  
  



  
      
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torrvision/crayon

A language-agnostic interface to TensorBoard. Contribute to torrvision/crayon development by creating an account on GitHub.