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In STT-engine project, a speech to text model is build for Amharic language. Feature extraction is implemented by generating Mel spectrogram images. CNN is used to learn the feature maps from spectrogram images and BI-RNN is applied to predict the transcription given a time series feature map.

Python 0.31% Jupyter Notebook 99.69% Dockerfile 0.01%

stt-engine's Introduction

Hi 👋, I am Tadesse Kebede

Junior Data Scientist, Machine Learning Engineer, Data Engineer, & Web3 Engineer

  • 🔭 I’m currently working on self learning on Data Engineer and Machine Learning Engineer
  • 🌱 I’m currently graduated from 10Academy on Machine Learning Engineer, Data Engineer and Web 3 Engineer
  • 👯 I’m looking to collaborate on machine learning engineer team
  • 🤔 I’m looking for help with job search
  • 💬 Ask me about Python,Data & ML Engineering.
  • 🎓 I have studied Bachelor's Degree in Computer Science at Mekelle University.
  • 📫 How to reach me: [email protected]
  • ⚡ Fun fact: Smile for a Reason

GitHub Streak

Connect with me:

Language and Tools:

Java  React  Spring  Material UI  Flutter  Redux   CSS  HTML  JavaScript  Firebase  Gatsby  MySQL  NodeJS  AWS 

stt-engine's People

Contributors

azariagmt avatar bethelsis avatar daniel2371 avatar rasyosef avatar

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