Gnosis Vokal. Kit
by zyadzarin 
Updated: Nov 2, 2021
Solution Kit
Build WIth AI 2021 Challenge 2 Kit Submission
Machine Learning
Libraries used for voice activity detection(VAD), embedding extraction and spectral embedding clustering.
pytorchby pytorch
67649 Version:v2.0.1Tensors and Dynamic neural networks in Python with strong GPU acceleration
pytorchby pytorch
Python 67649 Version:v2.0.1 License: Others (Non-SPDX)
scikit-learnby scikit-learn
54507 Version:1.2.2scikit-learn: machine learning in Python
scikit-learnby scikit-learn
Python 54507 Version:1.2.2 License: Permissive (BSD-3-Clause)
Audio Processing
Libraries used for importing, converting, exporting, playing, and processing audio.
pydubby jiaaro
7281 Version:v0.25.1Manipulate audio with a simple and easy high level interface
pydubby jiaaro
Python 7281 Version:v0.25.1 License: Permissive (MIT)
speechbrainby speechbrain
6091 Version:v0.5.14A PyTorch-based Speech Toolkit
speechbrainby speechbrain
Python 6091 Version:v0.5.14 License: Permissive (Apache-2.0)
User Interface
Libraries used for user interface.
streamlitby streamlit
25148 Version:1.23.1Streamlit — A faster way to build and share data apps.
streamlitby streamlit
Python 25148 Version:1.23.1 License: Permissive (Apache-2.0)
matplotlibby matplotlib
17514 Version:v3.7.1
License: No License (null)matplotlib: plotting with Python
matplotlibby matplotlib
Python 17514 Version:v3.7.1 License: No License
pandasby pandas-dev
38607 Version:v2.0.2Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
pandasby pandas-dev
Python 38607 Version:v2.0.2 License: Permissive (BSD-3-Clause)
Miscellaneous
Other libraries used.
jupyterby jupyter
14397 Version:CurrentJupyter metapackage for installation, docs and chat
jupyterby jupyter
Python 14397 Version:Current License: Permissive (BSD-3-Clause)
Deployment Information
The entire solution is available in the GitHub repository. Run the command 'pip install -r requirements.txt' before running. To run: run the command 'streamlit run main.py', a web browser will pop out.